New7 min read
Non-Developers Using AI Agents Need Platform Engineering
OpenAI's workplace agent data points to a practical shift: non-developers are starting to use agents for real work, so engineering teams need paved paths, policy, and receipts.
DEVELOPER WORKFLOW
60 articles
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Program-as-Weights Turns Prompts Into Local Fuzzy Functions
The Program-as-Weights paper is a useful signal for developers: some LLM calls may move from per-request API prompts into compact local artifacts that behave like reusable fuzzy functions.
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8 min read
Agent PR Governance: The New Rules for Copilot Reviews
GitHub's June Copilot review updates point to a practical policy stack for agent-authored pull requests: validation, review depth, repo instructions, attribution, and release-note accountability.
8 min read
Agent Sandbox Architecture: How to Choose the Right Runtime Boundary
AI agents are getting their own computers. Here is how to choose a sandbox architecture: filesystem isolation, network policy, secrets boundaries, snapshots, and when shell access is overkill.
8 min read
Agent Workflows as Code: Why State Machines Beat Prompt Checklists
Aharness, LangChain's custom harness pattern, and OpenAI's code-first migration all point to the same next step: agent processes need typed gates, validated evidence, and controlled transitions.
7 min read
Agentic AI Reliability Is a Systems Problem
The Bayer and Thoughtworks PRINCE case study is a useful reminder that reliable agentic AI comes from context routing, traces, evals, monitoring, and human review, not from a better prompt alone.
16 min read
The Definitive Guide to Loop Engineering in Claude Code and Codex
Goal, loop, routine. Three verbs, two tools, one hard part. A complete field guide to running agentic loops in Claude Code and Codex, the real commands, the patterns people actually run, and the two failure modes that burn money.
8 min read
Zero-Touch OAuth Is the MCP Feature Enterprises Were Waiting For
MCP's new enterprise-managed authorization flow is not just less login friction. It moves agent tool access into identity, policy, and audit systems enterprises already understand.
7 min read
Cohere's North Mini Code: A 30B Open-Weight Coding Model That Runs on One H100
Cohere shipped its first developer-facing model on June 9, 2026. North Mini Code is a 30B mixture-of-experts coding model with 3B active parameters, Apache 2.0 weights, and a deployment footprint of a single H100. Here is what it actually offers and where the open questions are.
8 min read
AI Infrastructure Agents Need Spend Guardrails
The viral DN42 AWS bill story is funny until you realize the missing primitive: infrastructure agents need hard cloud-spend guardrails before they touch real accounts.
8 min read
The Best Local Coding LLMs in 2026: Run Enterprise-Grade AI Without the Cloud
Choosing a local coding LLM in 2026 means balancing benchmark performance, hardware cost, and the compliance pressure to keep code off third-party servers. Here is what to run and on what hardware.
8 min read
Agent Config Files Are Executable Supply Chain
A Hacker News thread on config files that run code points at the next AI coding risk: agent hooks, skills, and editor rules need review like executable dependencies.
8 min read
Harness Engineering Makes Tokens a Systems Budget
OpenAI's harness engineering post and new token-use research point to the same lesson: agentic coding teams need token budgets, receipts, and eval loops, not vibes.
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