AI Agents AI Coding Agents AI Security Anthropic Claude Developer Tools Software Engineering Software Testing

Claude Writes 90% of Claude Code. So Who Reviews the Code?

Quick summary Review becomes a system: Anthropic spreads checks across local verification, automated review, CI, risk-based approval, and rollback. People still decide: Human attention goes to product direction, architecture, sensitive changes, and whether the evidence is convincing. The results are promising, not proof: Anthropic reports more than twice as many merged Claude Code pull requests […]

AI Agents AI Coding Agents Anthropic Claude CLI Deep Agents Code Developer Tools LangChain

I Compared Deep Agents Code with Claude Code. Here’s What Stands Out

In brief Deep Agents Code is a flexible, open-source coding harness. You can connect different model providers and choose how commands and files are handled. Claude Code is Anthropic’s coding agent, built around Claude models and a more integrated command-line workflow. The biggest practical difference is control: Deep Agents gives you more choices to configure; […]

AI Agents AI Coding Agents Anthropic Claude Embeddings RAG Retrieval-Augmented Generation

Claude Code Uses Grep. Is Vector Search Still Worth It?

In brief: Claude Code’s documented use of ripgrep shows how capable agent-led search can be. It does not prove Claude Code replaced vector search, or that vector search is obsolete. Keyword search is often simpler for exact names and current source files; semantic retrieval can help with vague questions and paraphrases. Choose with evidence from […]

AI Agents AI Coding Agents Anthropic Claude Developer Tools LLM

Delete “Think Carefully”: Opus 5.5 Prompting Now Starts With a Finish Line

Plenty of developers keep a line like “think carefully, take your time” at the top of their prompts. Many more have it buried in CLAUDE.md, the Markdown file of standing instructions that Claude Code loads at the start of every session. With Claude Opus 5.5, Anthropic’s newest Opus model, that line has quietly stopped earning […]

Software Architecture

Contextual Retrieval: Anthropic’s Approach to Reducing RAG Retrieval Failures

Quick summary Contextual Retrieval adds a short explanation of where a chunk sits in its source document and what it refers to. The added context is used for both embedding-based retrieval and BM25-based retrieval. Anthropic’s 67% figure applies when Contextual Retrieval is combined with reranking in its reported evaluation. A small knowledge base may be […]

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