<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet href="/pretty-atom.xsl" type="text/xsl"?>
<feed xmlns="http://www.w3.org/2005/Atom">
    <id>https://o16g.com/updates</id>
    <title>o16g Updates</title>
    <updated>2026-04-16T17:37:58.925Z</updated>
    <generator>RSS-O-Matic</generator>
    <link rel="alternate" href="https://o16g.com/updates"/>
    <link rel="self" href="https://rss-o-matic.com/feed/v5oMAZ_eMSmj.atom"/>
    <subtitle>Monitoring https://o16g.com/updates for changes (Generated by RSS-O-Matic — rss-o-matic.com)</subtitle>
    <icon>https://rss-o-matic.com/favicon.svg</icon>
    <entry>
        <title type="html"><![CDATA[Update — Apr 16, 2026, 12:05 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-16T12:05:35.827Z</updated>
        <summary type="html"><![CDATA[Thursday, April 16, 2026 · 12:01Z Agent Infra: Sandboxes, Benchmarks, Compression, Governance The next evolution of the Agents SDK ships a model-native harness and native sandbox execution for long-horizon agents. Outcome engineers gain an in-distribution test harness and safer runtime primitives to iterate on agent behavior and reduce deployment risk (Principle 07). Inside VAKRA: Reasoning, Tool Use, and Failure Modes of Agents stresses agents with executable, tool-grounded enterprise tasks ...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 16, 2026, 08:05 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-16T08:05:20.624Z</updated>
        <summary type="html"><![CDATA[Thursday, April 16, 2026 · 06:01Z Agent platforms, sandboxes, and benchmarks for outcome engineers Project Think: building the next generation of AI agents on Cloudflare launches primitives and a base class for durable, sandboxed AI agents that persist, fork, and scale. Durable primitives change how you model agent lifecycles and state, letting teams reason about long-running tasks and operability instead of ad-hoc scripts (Principles 07, 09). The next evolution of the Agents SDK delivers a m...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 16, 2026, 02:05 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-16T02:05:09.499Z</updated>
        <summary type="html"><![CDATA[Thursday, April 16, 2026 · 00:01Z Agent Stack: Durable agents, browsers, SDKs, benchmarks, governance Project Think: building the next generation of AI agents on Cloudflare launches primitives and a base class for durable, sandboxed agents that persist, fork, and scale. Outcome engineers get a production-ready substrate for durable execution and session persistence, lowering friction for long-running workflows and distributed orchestration (Principles 07 & 09). The next evolution of the Agent...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 15, 2026, 06:04 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-15T18:04:30.077Z</updated>
        <summary type="html"><![CDATA[Wednesday, April 15, 2026 · 18:01Z Building for Agents: durable runtimes, control planes, tooling, and gates Project Think: building the next generation of AI agents on Cloudflare launches primitives and a base class for durable, sandboxed AI agents that persist, fork, and scale. This matters because durable execution and sandboxing are the runtime foundations outcome engineers need to make agent behaviors reproducible and safe in production (Principles 07, 09, 06). Rearchitecting the Workflo...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 15, 2026, 12:03 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-15T12:03:18.494Z</updated>
        <summary type="html"><![CDATA[Wednesday, April 15, 2026 · 12:01Z Agent ops, creds, and private nets — five practical updates for outcome engineers Databricks research: Multi-step agents outperform single-turn RAG when answers span databases and documents shows multi-step agents beat single-turn RAG by 20%+ on hybrid tasks by decomposing queries and coordinating SQL and vector retrievals. Outcome engineers should favor decomposition and explicit orchestration for mixed document+structured-data queries — this shifts archite...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 15, 2026, 08:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-15T08:01:00.639Z</updated>
        <summary type="html"><![CDATA[Wednesday, April 15, 2026 · 06:02Z Agents, credentials, and orchestration — primitives for outcome engineering Securing non-human identities: automated revocation, OAuth, and scoped permissions — Cloudflare adds automated token revocation, OAuth visibility, and resource‑scoped RBAC to secure non‑human identities and reduce credential-driven breaches. Outcome engineers get concrete, deployable primitives for agent identity and lifecycle management that cut blast radius and enable auditability ...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 15, 2026, 02:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-15T02:01:00.656Z</updated>
        <summary type="html"><![CDATA[Wednesday, April 15, 2026 · 00:01Z Agent Ops: orchestration, credentials, and multi-step wins Databricks research: Multi-step agents outperform single-turn RAG when answers span databases and documents. Databricks shows multi-step agents beat single-turn RAG by 20%+ on hybrid tasks by decomposing queries and coordinating SQL and vector retrievals. If your systems must join documents and databases, design for decomposition and cross-tool coordination rather than one-shot retrievals (Principle ...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 14, 2026, 08:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-14T20:01:01.820Z</updated>
        <summary type="html"><![CDATA[Tuesday, April 14, 2026 · 18:02Z Agent Ops: Local agents, multi-step orchestration, and agent-ready access GAIA SDK — Build AI Agents That Run Locally runs AI agents fully on-device, delivering privacy-first local inference, RAG, speech, image generation, and agent routing. This matters because outcome engineers can push execution to edge devices—reducing latency and preserving data locality—while needing new patterns for distributed debugging, capability discovery, and offline orchestration ...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 14, 2026, 01:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-14T13:01:01.072Z</updated>
        <summary type="html"><![CDATA[Tuesday, April 14, 2026 · 12:02Z Agent Ops: Sandboxes, Local Agents, Spec‑Driven Dev, and Reliable Queries Cloudflare launches Sandboxes GA with secure creds, snapshots, and PTY — Cloudflare ships Sandboxes GA, adding secure credential injection, snapshots, PTY, and Active CPU pricing to run untrusted agent workloads at scale. This matters because isolated, observable agent runtimes remove a major operational barrier to running agent fleets in production and enforces sandboxed testing and inc...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 14, 2026, 07:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-14T07:01:00.925Z</updated>
        <summary type="html"><![CDATA[Tuesday, April 14, 2026 · 06:01Z Agent Infrastructure: ADKs, Sandboxes, Local Agents, QueryData, Durable DBs Hands-on with the Google Agent Development Kit shows Google shipping an ADK that simplifies building, deploying, and orchestrating modular AI agents across languages and runtimes with human-in-the-loop controls and agent-to-agent support. Outcome engineers need standardized agent frameworks to move agentic workflows from prototypes into repeatable, observable production systems (Princi...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 14, 2026, 01:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-14T01:01:01.521Z</updated>
        <summary type="html"><![CDATA[Tuesday, April 14, 2026 · 00:01Z Agent Ops: runtimes, sandboxes, specs, and reliable DBs Hands-on with the Google Agent Development Kit — Google ships an Agent Development Kit that standardizes building, deploying, and orchestrating modular agents across languages and runtimes with built-in human-in-the-loop controls and agent-to-agent support. Outcome engineers get a de facto platform for composing verifiable agent components and embedding HITL safety gates into production flows (Principles ...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 13, 2026, 07:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-13T19:01:00.764Z</updated>
        <summary type="html"><![CDATA[Monday, April 13, 2026 · 18:02Z Agent Infrastructure: Sandboxes, ADK, QueryData & Spec-Driven Ops Agents have their own computers with Sandboxes GA. Cloudflare launches Sandboxes GA with secure credential injection, snapshots, PTY and Active CPU pricing to run untrusted agent workloads at scale. This gives engineers safe, snapshotable, credentialed runtimes for agent experiments and production, reducing blast radius and operational risk (Principle 07)]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 13, 2026, 01:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-13T13:01:01.073Z</updated>
        <summary type="html"><![CDATA[Monday, April 13, 2026 · 12:02Z Agent Infra & Shadow AI: Tools, Risks, and Production Patterns Hands-on with the Google Agent Development Kit. Google ships the ADK and Vertex AI Agent Engine Runtime to make building, deploying, and orchestrating modular AI agents easier across languages and runtimes, adding human‑in‑the‑loop controls and agent‑to‑agent support. Outcome engineers can adopt a production‑grade agent framework to standardize orchestration, observability, and HITL gates — directly...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 13, 2026, 07:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-13T07:01:03.220Z</updated>
        <summary type="html"><![CDATA[Monday, April 13, 2026 · 06:01Z Agent Ops: Copilot CLI, Claudraband, Claude Mythos, On‑device Risks GitHub Copilot CLI Reaches General Availability ships GA, embedding agentic Autopilot workflows and GPT-5. 4 directly into the terminal with enterprise telemetry. This changes agent delivery lanes—outcome engineers must design CI, observability, and telemetry hooks around autonomous CLI workflows (Principles 03, 09)]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 13, 2026, 01:59 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-13T01:59:47.712Z</updated>
        <summary type="html"><![CDATA[Monday, April 13, 2026 · 00:01Z Agent Ops: Copilot CLI GA, Claudraband, TurboQuant, Diffusion LLMs, On‑device Risk GitHub Copilot CLI Reaches General Availability arrives, embedding agentic Autopilot workflows and GPT-5. Outcome engineers get a production-ready agent runtime in the developer console — rethink CI/CD, observability, and permission boundaries (Principle 09). Claudraband — Claude Code for the Power User adds resumable Claude Code sessions, an HTTP daemon, and an ACP library for h...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 12, 2026, 07:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-12T19:01:01.236Z</updated>
        <summary type="html"><![CDATA[Sunday, April 12, 2026 · 18:01Z Agent Ops & Risk: Benchmarks, CLIs, and Security Alerts GitHub Copilot CLI Reaches General Availability — GitHub ships Copilot CLI to GA, embedding agentic Autopilot workflows and GPT-5. This turns the developer shell into an agent orchestration surface, forcing outcome engineers to design reproducible pipelines, CI controls, and telemetry-driven validation for developer agents. Outcome engineers must stop treating benchmarks as ground truth and instead instrum...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 12, 2026, 01:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-12T13:01:02.880Z</updated>
        <summary type="html"><![CDATA[Sunday, April 12, 2026 · 12:02Z Agent Ops & Trust: Copilot CLI, Broken Benchmarks, TurboQuant GitHub Copilot CLI Reaches General Availability — GitHub ships Copilot CLI GA, embedding agentic Autopilot workflows and GPT-5. 4 into the terminal with enterprise telemetry. Outcome engineers must treat the terminal as an execution plane for agents—this shifts developer feedback loops, CI/CD, and observability requirements (Principles 03 & 09)]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 12, 2026, 07:58 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-12T07:58:57.607Z</updated>
        <summary type="html"><![CDATA[Sunday, April 12, 2026 · 06:01Z Hardening agents: benchmarks, infra, and the new model economy How We Broke Top AI Agent Benchmarks: And What Comes Next. UC Berkeley researchers build an automated agent that exploits eight major agent benchmarks, exposing systemic vulnerabilities that inflate capability scores. Outcome engineers must treat benchmarks as adversarial surfaces — add red-team evaluation, robust harnesses, and continual validation (Principles 02 & 16)]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 12, 2026, 01:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-12T01:01:00.884Z</updated>
        <summary type="html"><![CDATA[Sunday, April 12, 2026 · 00:01Z Agents in the Wild: Security, Sandboxes, and Real-World Rollouts Launch HN: Twill. ai (YC S25) — Delegate to cloud agents, get back PRs runs sandboxed coding agents that build, test, and open PRs, pinging you only for approvals. If you design agentic dev workflows this is a concrete delivery pattern — sandboxed execution lanes with human approval gates mirror Principle 07 and Principle 03]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 11, 2026, 07:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-11T19:01:02.927Z</updated>
        <summary type="html"><![CDATA[Saturday, April 11, 2026 · 18:01Z Agent Ops: Skills, Advisors, Sandboxes, Booking, and Security Launch HN: Twill. ai (YC S25) — Delegate to cloud agents, get back PRs. Twill runs sandboxed coding agents that build, test, and open PRs, pinging you only for approvals]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 11, 2026, 01:58 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-11T13:58:27.341Z</updated>
        <summary type="html"><![CDATA[Saturday, April 11, 2026 · 12:01Z Ship Agents: Skills, Advisors, Security, Infra & Orchestration Launch HN: Twill. ai (YC S25) — Delegate to cloud agents, get back PRs launches sandboxed coding agents that build, test, and open pull requests, alerting humans only for approvals. This gives outcome engineers a concrete pattern for turning autonomous code delivery into auditable artifacts and approval gates — a Build the Island + Gate pattern for safe deployment]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 11, 2026, 07:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-11T07:01:01.878Z</updated>
        <summary type="html"><![CDATA[Saturday, April 11, 2026 · 06:01Z Fixing Agent Coordination: Advisors, MCP, Tiger Teams, and Sandboxes AI agents aren’t failing. The coordination layer is failing. An “Event Spine” proposal centralizes ordering, context propagation, and coordination primitives to prevent multi-agent conflicts and scale orchestration]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 11, 2026, 01:58 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-11T01:58:00.110Z</updated>
        <summary type="html"><![CDATA[Saturday, April 11, 2026 · 00:01Z Agent Ops: GPUs, Event Spines, Advisors, Backends, and Tiger Teams SkyPilot Agent Skill: Let Agents Manage Your GPUs releases an Agent Skill that lets AI coding agents launch, manage, and autostop GPU clusters across clouds using natural language. Outcome engineers get a programmatic, observable compute lifecycle for agents — reducing manual ops, improving reproducibility, and turning compute into a shippable artifact (Principles 07/06). The coordination laye...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 10, 2026, 07:57 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-10T19:57:47.199Z</updated>
        <summary type="html"><![CDATA[Friday, April 10, 2026 · 18:02Z Agent infrastructure & production: MCP, GPU skills, orchestration SkyPilot Agent Skill: Let Agents Manage Your GPUs lets AI coding agents launch, manage, and autostop GPU clusters across clouds using natural language. That gives outcome engineers a concrete pattern for delegating infrastructure lifecycle and cost control to agents, turning GPU provisioning into an auditable agent skill (Principle 03). AAIF MCP Dev Summit: Gateways, gRPC, and Observability Signa...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 10, 2026, 01:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-10T13:01:00.586Z</updated>
        <summary type="html"><![CDATA[Friday, April 10, 2026 · 12:01Z Outcome Engineering: Payments, On‑Device AI, MCP, GPU Skills, Coordination Visa unveils Intelligent Commerce Connect, a platform for AI-agent payments across card networks. Visa launches a payments bridge that lets AI agents transact across multiple card networks. Outcome engineers now must design secure authorization, audit trails, and fraud controls into agentic payment flows — think Gate and Graph controls around any agent that can move money (Principles 09,...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 10, 2026, 07:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-10T07:01:01.668Z</updated>
        <summary type="html"><![CDATA[Friday, April 10, 2026 · 06:02Z Agent Ops: Interop, Managed Agents, Payments, GPU Control, and Multi-Agent Research AAIF MCP Dev Summit: Gateways, gRPC, and Observability Signal Protocol Hardening advances the Model Context Protocol with gateway, gRPC, and observability hardening. This matters because MCP work is becoming the plumbing for production agent fleets—if you build agents at scale you need standardized context channels, hardened gateways, and signal observability to operate safely a...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 10, 2026, 01:56 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-10T01:56:42.257Z</updated>
        <summary type="html"><![CDATA[Friday, April 10, 2026 · 00:02Z Agent Infrastructure: Protocols, Multimodal Retrieval, Payments, Production AAIF MCP Dev Summit: Gateways, gRPC, and Observability Signal Protocol Hardening. The Agentic AI Foundation advances the Model Context Protocol with gateway designs, gRPC support, and observability signal hardening to boost enterprise interoperability, security, and production scaling. Outcome engineers should treat MCP as emergent plumbing for production agents—adopt its gateway and ob...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 9, 2026, 07:56 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-09T19:56:29.974Z</updated>
        <summary type="html"><![CDATA[Thursday, April 9, 2026 · 18:02Z Agents in Production: Skill Artifacts, Managed Runtimes, Offload, and Safety New framework lets AI agents rewrite their own skills without retraining the underlying model. Memento-Skills gives agents an evolving external memory of executable skill artifacts so behaviors evolve without retraining base LLMs. This shifts delivery toward artifact-driven skill management and versioned behavior — think Principle 08 in practice]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 9, 2026, 01:56 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-09T13:56:10.643Z</updated>
        <summary type="html"><![CDATA[Thursday, April 9, 2026 · 12:02Z Agents Into Production: telemetry, skills, managed runtimes, live learning Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems describes GAAT, a system that converts multi-agent telemetry into real-time automated policy enforcement. Outcome engineers get a blueprint for closing the observe‑but‑don’t‑act gap—build telemetry that can trigger automated governance and hard checkpoints rather than relying on post hoc audits (Princ...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 9, 2026, 07:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-09T07:01:00.888Z</updated>
        <summary type="html"><![CDATA[Thursday, April 9, 2026 · 06:01Z Ship Agents: state, skills, memory, and runtime governance Microsoft’s Agent Governance Toolkit targets OWASP top risks for AI agents. Microsoft releases an open-source Agent Governance Toolkit that enforces runtime policies across multi-step agent workflows to mitigate OWASP-class risks. Outcome engineers should treat this as a runtime blueprint for embedding policy checks and telemetry into agent infra rather than bolted-on audits (Principles 10 & 14)]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 9, 2026, 01:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-09T01:01:00.788Z</updated>
        <summary type="html"><![CDATA[Thursday, April 9, 2026 · 00:03Z Building Reliable Agents: governance, state, supply‑chain, process, audit Microsoft’s Agent Governance Toolkit targets OWASP top risks for AI agents. Microsoft releases an open-source Agent Governance Toolkit that enforces runtime policies to mitigate OWASP top-10 risks across multi-step AI agent workflows. Outcome engineers must bake runtime policy enforcement and threat modeling into agent platforms to meet enterprise security and compliance — Principle 10 a...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 8, 2026, 07:54 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-08T07:54:32.472Z</updated>
        <summary type="html"><![CDATA[Wednesday, April 8, 2026 · 06:01Z Agent Ops: Scion, 8‑hour LLM, Mythos, Istio, Encoderfile Google Open-Sources Experimental Multi-Agent Orchestration Testbed Scion. Outcome engineers get a practical sandbox for testing identity isolation, credential handling, and workspace hygiene — a direct step toward agent-native infrastructure and Principle 07/09 practices. 1, a 754B MoE open-source model engineered for eight-hour autonomous agentic workloads and 202k-token contexts]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 8, 2026, 01:54 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-08T01:54:10.086Z</updated>
        <summary type="html"><![CDATA[Wednesday, April 8, 2026 · 00:01Z Agent Ops: orchestration, long‑horizon models, security, infra, failures Google Open-Sources Experimental Multi-Agent Orchestration Testbed Scion. Google open-sources Scion, a containerized multi-agent orchestration testbed that isolates agent identities, credentials, and shared workspaces across local and remote compute. Outcome engineers get a reproducible sandbox to validate agent identity, credential handling, and orchestration patterns before production ...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 7, 2026, 07:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-07T19:01:00.833Z</updated>
        <summary type="html"><![CDATA[Tuesday, April 7, 2026 · 18:01Z Agents, Context, Memory, Audit: 5 Practical Signals The Anatomy of an Agent Harness. It defines the agent harness as the full orchestration stack—tools, memory, context, and guardrails—and presents MongoDB’s Canvas Framework for productionizing agents. Outcome engineers get a concrete blueprint for turning experiments into stable delivery lanes and for treating harnesses as first-class infrastructure (Principle 09)]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 7, 2026, 01:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-07T13:01:02.350Z</updated>
        <summary type="html"><![CDATA[Tuesday, April 7, 2026 · 12:02Z Ship Agents: Sandboxes, Harnesses, MCPs, Benchmarks & Second Opinions Launch HN: Freestyle — Sandboxes for AI Coding Agents provides instant, forkable VMs to run and scale tens of thousands of AI coding agents in isolated sandboxes. Sandboxed forks let you run ephemeral agents with deterministic environments, observability, and kill-switches—an essential infra pattern for production agent fleets (Principle 07/09). MCP maintainers from Anthropic, AWS, Microsoft,...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 7, 2026, 07:53 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-07T07:53:10.413Z</updated>
        <summary type="html"><![CDATA[Tuesday, April 7, 2026 · 06:02Z Agent infrastructure: harnesses, sandboxes, MCP, multi-agent tools, tests The Anatomy of an Agent Harness defines the agent harness as the full orchestration stack—tools, memory, context, and guardrails—and presents MongoDB’s Canvas Framework for productionizing agents. It matters because it gives a concrete blueprint for building reliable orchestration and guardrails in production agent systems (Principles 06 & 09). It matters because it solves isolation, repr...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 7, 2026, 01:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-07T01:01:01.552Z</updated>
        <summary type="html"><![CDATA[Tuesday, April 7, 2026 · 00:01Z Agents as Infrastructure: harnesses, MCP, sandboxes, and on-device agents The Anatomy of an Agent Harness defines the agent harness as the full orchestration stack—tools, memory, context, and guardrails—and presents MongoDB’s Canvas Framework for productionizing agents. For outcome engineers this is a practical blueprint for structuring harness layers so agents can act reliably and safely in production (Principles 06 & 09). MCP maintainers from Anthropic, AWS, ...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 6, 2026, 07:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-06T19:01:05.128Z</updated>
        <summary type="html"><![CDATA[Monday, April 6, 2026 · 18:04Z Agents, Sandboxes & Edge LLMs: Outcome Engineering Brief Claude, OpenClaw, and the new reality: AI agents are here — and so is the chaos. Outcome engineers must treat agents as infrastructure—prioritize authorization, monitoring, and least-privilege controls (Principles 10, 14, 15). MCP maintainers from Anthropic, AWS, Microsoft, and OpenAI lay out enterprise security roadmap at Dev Summit]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 6, 2026, 01:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-06T13:01:01.873Z</updated>
        <summary type="html"><![CDATA[Monday, April 6, 2026 · 12:02Z Agent Infrastructure: IDEs, Browsers, Devices, Chaos, and Architecture Cursor’s $2 billion bet: The IDE is now a fallback, not the default. Cursor 3 replaces the IDE with an agent-first control plane, making editors a fallback and enabling portable cloud-local agent sessions. Outcome engineers should design for agent session portability and orchestration as first-class infra rather than assuming the IDE is the primary surface (Principle 09)]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 6, 2026, 07:51 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-06T07:51:31.477Z</updated>
        <summary type="html"><![CDATA[Monday, April 6, 2026 · 06:02Z Agent-first control planes, local Gemma, and LLMOps lessons Cursor’s $2 billion bet: The IDE is now a fallback, not the default introduces Cursor 3 as an agent-first control plane that treats editors as fallbacks and enables portable cloud-local agent sessions. Outcome engineers must design orchestration surfaces and CI for agent sessions to make agents reliable in production (Principle 09). Claude, OpenClaw, and the new reality: AI agents are here — and so is t...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 6, 2026, 01:51 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-06T01:51:17.736Z</updated>
        <summary type="html"><![CDATA[Monday, April 6, 2026 · 00:02Z Agents Take Control: APIs, Local LLMs, and Agent-First Tooling research-llm-apis — 2026-04-04 release. Simon Willison catalogs raw JSON and curl patterns across LLM vendors to redesign LLM abstractions for server-side tool execution. Outcome engineers get a practical map for building vendor-agnostic tool adapters and server-side tool execution layers, making orchestration and context plumbing more predictable (Principles 03, 06)]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 5, 2026, 07:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-05T19:01:00.928Z</updated>
        <summary type="html"><![CDATA[Sunday, April 5, 2026 · 18:03Z Agent Ops: orchestration, APIs, wiki memory, and cheap GPU Cursor’s $2 billion bet: The IDE is now a fallback, not the default. Cursor 3 ships an agent-first control plane that treats editors as a fallback and supports portable cloud-local agent sessions. This reframes developer tooling as agent orchestration infrastructure—central for building reliable agentic systems and a practical step toward Principle 09]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 5, 2026, 01:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-05T13:01:02.560Z</updated>
        <summary type="html"><![CDATA[Sunday, April 5, 2026 · 12:03Z Agent Stack: APIs, Memory, GPU Slicing, Coding Agents, and Inference Racks Components of a Coding Agent breaks coding agents into six essential components, showing how context, tools, memory, and harnesses make LLMs practical for software work. This gives outcome engineers a checklist for building reliable agent delivery lanes and harnesses that reduce brittleness in production (Principle 06/11). research-llm-apis — 2026-04-04 release catalogs raw JSON and curl ...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 5, 2026, 07:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-05T07:01:01.164Z</updated>
        <summary type="html"><![CDATA[Sunday, April 5, 2026 · 06:02Z Agent Ops: coding agents, APIs, distillation, interpretability, audits Components of a Coding Agent breaks coding agents into six essential components, showing how context, tools, memory, and harnesses turn LLMs into practical software teammates. Use it as a concise blueprint and checklist when you design agent architectures and map responsibilities between agent, toolchain, and human reviewers. research-llm-apis — 2026-04-04 release catalogs raw JSON and curl p...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 5, 2026, 01:50 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-05T01:50:03.626Z</updated>
        <summary type="html"><![CDATA[Sunday, April 5, 2026 · 00:01Z Agents, Determinism, and Cognitive Risk — Build the Checks The cognitive impact of coding agents argues that coding agents reshape developer cognition, increasing oversight needs and risking long-term cognitive debt without better guardrails. Outcome engineers must treat agentic tools as cognitive infrastructure—design explicit review lanes, audit trails, and team coordination to avoid silent erosion of expertise (Principles 03 & 14). Components of a Coding Agen...]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 4, 2026, 07:49 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-04T19:49:45.524Z</updated>
        <summary type="html"><![CDATA[Saturday, April 4, 2026 · 18:03Z From RAG to reproducible agents: five practical reads We replaced RAG with a virtual filesystem for our AI documentation assistant. They replace RAG with a virtual filesystem that lets agents grep, ls, and cat docs instantly, cutting boot time to ~100ms and cost to zero. Outcome engineers get a concrete interface pattern for fast, debuggable context access that simplifies Map and Tech Island work]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 4, 2026, 01:01 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-04T13:01:00.883Z</updated>
        <summary type="html"><![CDATA[Saturday, April 4, 2026 · 12:03Z Outcome Ops: Inference tiers, RAG alternatives, replayable agents, security Google adds Flex and Priority inference tiers to Gemini API for enterprise cost and reliability control. Google introduces Flex and Priority inference tiers on Gemini API to let teams trade cost for latency and availability. Outcome engineers can use these tiers to budget agent SLAs and avoid noisy-neighbor failures in orchestration systems (Principle 12)]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 4, 2026, 07:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-04T07:01:00.629Z</updated>
        <summary type="html"><![CDATA[Saturday, April 4, 2026 · 06:02Z Agent plumbing, RAG fixes, and inference control for outcome engineers Understanding the risks of OpenClaw. The piece frames OpenClaw as orchestration plumbing, not a standalone cloud, and details how its value and risks hinge on external models, APIs, and distributed trust boundaries. Outcome engineers must treat orchestration layers as fragile trust planes—design explicit provenance, least-privilege interfaces, and governance controls (Principles 09,10)]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 4, 2026, 01:01 AM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-04T01:01:03.335Z</updated>
        <summary type="html"><![CDATA[Saturday, April 4, 2026 · 00:02Z Outcome Engineering: Local Models, Better Retrieval, Orchestration Risk Arcee’s Trinity-Large-Thinking: U. S. -made 399B open-source model enterprises can download and customize]]></summary>
    </entry>
    <entry>
        <title type="html"><![CDATA[Update — Apr 3, 2026, 07:48 PM]]></title>
        <id>https://o16g.com/updates</id>
        <link href="https://o16g.com/updates"/>
        <updated>2026-04-03T19:48:13.961Z</updated>
        <summary type="html"><![CDATA[Friday, April 3, 2026 · 18:03Z Agents, Data, and Defense: Practical Moves for Outcome Engineers Why pgEdge thinks MCP (not an API) is the right way for AI agents to talk to databases introduces pgEdge’s MCP Server for Postgres, which gives agents schema-aware, secure, low-token connections to Postgres—even in air-gapped deployments. This matters because outcome engineers now have a protocol-first pattern for direct, auditable agent-data access that reduces RAG fragility and reframes connector...]]></summary>
    </entry>
</feed>