METR on Anthropic: Staff Feel 12x, Progress Is 2x
METR estimates Anthropic now improves its models about twice as fast, mostly thanks to AI, while staff self-report 12x speedups. What the gap teaches teams measuring AI coding gains.
Daily, sourced write-ups on Claude Code, Codex, Copilot, Cursor, Devin, MCP, and the models behind them: what shipped, what broke, and what it costs you.
New posts on coding agents, their models, and the infrastructure around them.
METR estimates Anthropic now improves its models about twice as fast, mostly thanks to AI, while staff self-report 12x speedups. What the gap teaches teams measuring AI coding gains.
Conductor Cloud shuts down November 20 after the Meta deal. How to save your workspaces and branches, and where to run parallel Claude Code and Codex agents next.
Revolut says self-hosting GLM on 56 B200 GPUs cut its AI coding bill about 90%. What that figure leaves out, and the team size where self-hosting starts to pay.
WardenStealer and Aoki copy login tokens from Claude Code, Codex, Copilot, and Cursor. Where each tool stores its login and how to revoke it on the server.
The Messages API can now hold a conversation server-side for five minutes so each agent turn sends only new messages. What it speeds up, what it doesn't, and how to handle expiry.
DeepSeek open-sourced dsh-superagent, a coding agent that takes requests from GitHub and Feishu. What it does by default, how it decides who can ask, and why its workers need an isolated machine.
Fast mode on Opus 4.8 and the Sonnet 4.5 model both start returning errors on November 30. What breaks, how to find it in your code and settings, and what Opus 5.5 fast mode costs instead.
Cursor's marketplace served a tampered Claude Code extension for 11 hours that planted an SSH key and a startup script. How to check your machine, clean it up, and set an install cooldown.
Pick the layer you're deciding on.
A practical three-way comparison of the editor agents developers actually evaluate now: context quality, pricing predictability, GitHub integration, and review burden.
After Copilot's billing change and Cursor's VS Code dominance, which AI code editor wins for real development workflows? Context quality, pricing, and ecosystem lock-in compared.
For AWS-heavy teams and JetBrains shops, these are the tools Cursor vs Copilot debates miss. An honest comparison of ecosystem fit, security scanning, pricing, and where each breaks down.
Browse posts by the kind of tool.
Cursor, GitHub Copilot, Windsurf, JetBrains AI, Zed, and Replit: the AI built into the editor you write code in all day.
Claude Code, Codex CLI, Aider, Continue, and Cline: agents that run multi-step changes from your terminal, with your tests in the loop.
Devin, OpenHands, and SWE-agent: tools that take a ticket and come back with a pull request for you to review.
Claude, GPT, Gemini, Llama, Mistral, and Hermes, plus MCP, A2A, and the frameworks that connect agents to tools.