Designing agentic loops
Coding agents like Anthropic’s Claude Code and OpenAI’s Codex CLI represent a genuine step change in how useful LLMs can be for producing working code. These agents can now directly …
Designing agentic loops Simon Willison’s Weblog Subscribe Sponsored by: Microsoft - Agent projects stall between demo and production. Microsoft's MVP checklist closes that gap. Try it Designing agentic loops 30th September 2025 Coding agents like Anthropic’s Claude Code and OpenAI’s Codex CLI represent a genuine step change in how useful LLMs can be for producing working code. These agents can now directly exercise the code they are writing, correct errors, dig through existing implementation details, and even run experiments to find effective code solutions to problems. As is so often the cas
saved by
related reading
- Building Effective AI Agents \ Anthropicanthropic.com
- Best practices for Claude Code - Claude Code Docsanthropic.com
- claude code is not making your product betterethanding.substack.com
- Vibe engineeringsimonwillison.net
- Building Effective AI Agents \ Anthropicanthropic.com
- I think “agent” may finally have a widely enough agreed upon definition to be useful jargon nowsimonwillison.net
- How I'm using coding agents in September, 2025 — Massively Parallel Procrastinationblog.fsck.com
- A Guide to Claude Code 2.0 and getting better at using coding agents – sankalp's blogsankalp.bearblog.dev
- How I Use Claude Code | Philipp Spiessspiess.dev
- Here’s how I use LLMs to help me write codesimonwillison.net
- Loop Engineeringaddyosmani.com
- Effective harnesses for long-running agents \ Anthropicanthropic.com