Dev

Anthropic released the full 1M-token context window at standard pricing across Claude models. Previously limited to preview, it's now available to all API and consumer users.

Cursor's Composer model now compresses earlier steps into concise representations, extending working memory for multi-step agentic coding tasks without losing critical context.

Jeffrey Emanuel's methodology for coordinating AI agent swarms puts 85% of effort into detailed markdown planning before agents touch code. Work is broken into self-contained "beads" and executed in parallel, with humans overseeing the swarm rather than writing individual lines. The most comprehensive agentic workflow guide published this month.

A practitioner breakdown of MCP vs CLI trade-offs, arguing MCP remains the right choice for enterprise agent adoption despite valid developer complaints about complexity and auth.

Nathan Lambert's independent evaluation finds GPT 5.4 meaningfully better for agentic coding tasks, but argues Claude maintains advantages in UX and personality that matter more day-to-day.

METR's analysis finds roughly half of AI-generated pull requests that pass SWE-bench have code quality issues that would prevent real-world adoption. A necessary reality check on benchmark hype.

The chief architect of Lean argues that formal mathematical verification becomes essential infrastructure as AI generates more of the world's code. When proof is cheap, it becomes the stronger path to correctness.

Why developers looking at the same LLM coding tools reach opposite conclusions — it's not about the tech, it's about pre-existing worldviews on whether the industry is progressing or dysfunctional.

Anil Dash pushes back on the simplistic narrative that AI is replacing programmers, exploring what the profession actually looks like when coding becomes one tool among many. Featured in the New York Times Magazine, this is the most nuanced take on developer identity in the AI era we've read this month.