Building Effective AI Agents(anthropic.com)
484 points by Anon84 | 84 comments
Anthropic engineering post from Dec 2024 on building LLM agents, arguing for simple, composable patterns over complex frameworks.
484 points by Anon84 | 84 comments
Anthropic engineering post from Dec 2024 on building LLM agents, arguing for simple, composable patterns over complex frameworks.
361 points by moatmoat | 112 comments
Anthropic engineering blog post giving a technical postmortem of three bugs that intermittently degraded Claude's responses, and what is changing.
644 points by lebovic | 255 comments
Anthropic engineering blog post introducing three beta features on the Claude Developer Platform that let Claude discover, learn, and execute tools dynamically.
905 points by mfiguiere | 673 comments
Anthropic engineering post explaining how recent Claude Code quality complaints traced to three separate changes, and what the company is changing in response.
690 points by modeless | 664 comments
Anthropic engineering blog post describing how teams of parallel Claude Opus 4.6 agents built a C compiler with minimal human involvement.
10 points by fmind-dev | 2 comments
Blog post by Médéric Hurier arguing that AGENTS.md files should guide coding agents using Unix tools, with lessons from his dotfiles and human review.
446 points by Bogdanp | 199 comments
Filippo Valsorda's blog post on using Claude Code to debug his new Go implementation of the ML-DSA post-quantum signature algorithm.
1252 points by StanAngeloff | 686 comments
GitHub issue on anthropics/claude-code reporting that Claude Code became unusable for complex engineering tasks after the February model updates.
644 points by lebovic | 255 comments
Anthropic engineering blog post introducing three beta features on the Claude Developer Platform that let Claude discover, learn, and execute tools dynamically.
541 points by drob518 | 454 comments
Bram Cohen blog post arguing that the leaked Claude source code's poor quality reflects vibe coding dogfooding taken to cult-like extremes.
502 points by mpweiher | 413 comments
A personal blog post arguing that developers should manually retype code generated by LLM coding assistants to keep understanding it and avoid cognitive debt.