Dev

Microsoft's Agent Framework hits 1.0 for .NET and Python, with observability, durable state, and MCP tool support built in. Quietly the most credible production-grade orchestrator outside the big labs.

The most thorough walkthrough yet of Opus 4.7's Adaptive Thinking, the new effort levels, and the 1M-context workflow changes. Covers when to reach for which effort level, how Adaptive Thinking actually allocates compute, and ten concrete workflows that are newly viable. The kind of practitioner read you come back to twice while rewiring your agents.

Anthropic's own recommended patterns for pairing Opus 4.7 with Claude Code — effort levels, plan-mode prompts, and when to switch to Sonnet for a subtask. Worth the read even if you've been running Claude Code since day one.

A Streamlit benchmark harness that measures how Opus 4.7's memory and effort levels trade off on real tasks. Practical numbers for anyone tuning latency-vs-quality knobs in an app.

A practitioner's end-to-end tutorial on MCP — the three-layer agent stack, progressive discovery, programmatic tool calling, and hands-on labs from beginner to advanced. Useful if you want to go deeper than the official docs.

A close reading of the six Opus 4.7 tips circulating from inside the Claude Code team, with a view on when the new Cowork mode is actually the better default. Short and opinionated.

A solo developer's honest sketch of how to actually learn and ship AI in 2026 — the rare roadmap that admits which pieces are still in flux. Worth it for the "what I would skip" list.

Claude Opus 4.7 launched at the same pricing as 4.6 with meaningful gains on software engineering benchmarks, improved vision, and new "effort" controls that let developers tune reasoning depth per call.

Google published the I/O 2026 session list, with AI, Android, and Web tracks running May 19-20. Gemini, Gemma, and agentic development tooling dominate the agenda.

A detailed practitioner argument for designing "harnesses"—structured planning environments that make coding agents think before they type. Covers symbol analysis, repository-impact mapping, and scoped permissions with concrete patterns. One of the clearest articulations of how teams are adapting their tooling to agentic workflows.

Five production patterns distilled from Google's internal Agent Bake-Off: treat agents as microservices, specialize sub-agents, use supervisor loops, instrument everything, and constrain the tool surface. Practical rather than promotional.

SAP's month-long coding challenge walks practitioners through building CrewAI agents with real orchestration, RAG, and deployment. Good structured path if you want hands-on time with an agent framework this month.

A candid practitioner walkthrough of building an agent from zero in one sitting—what broke, what worked, and the four-component mental model (LLM, memory, tools, runtime) that finally made it click.

Hard numbers on the agent-driven shift: deployments initiated by coding agents grew 10x in six months and now account for roughly 30% of Vercel's platform traffic. Includes the architectural tweaks the team made to absorb it.

Simon Willison's practitioner-grade survey of where we are: why November 2025 was the real agentic-coding inflection, the three patterns he uses daily, and what the "dark factories" of automated content mean for product builders. Honest, specific, and useful.