A new project called Agents Workbook has hit Hacker News, offering developers a way to observe AI coding agents in action as they document their own reasoning processes. The tool, posted by user softcane on August 18th, allows you to watch Claude Code and Codex write down their working notes as they tackle development tasks.
What Is Agents Workbook?
The project essentially acts as a monitoring layer for AI coding agents. Instead of just seeing the final output or code that an agent produces, developers can now peer into the intermediate thinking—the scratchpad, if you will—that these models use to work through complex coding problems. It's like having x-ray vision for your AI pair programmer's brain.
Why This Matters for Developer Workflows
For teams integrating Claude Code and Codex into their development pipelines, visibility into agent reasoning has been a persistent gap. When an AI makes unexpected decisions or generates suboptimal code, developers currently have limited tools to diagnose what went wrong in the decision-making process. Agents Workbook addresses this by capturing the full chain of thought.
Technical Implementation
The tool appears to intercept and log the internal notes that both Anthropic's Claude Code and OpenAI's Codex generate during task execution. These working notes typically include things like task decomposition, strategy decisions, error acknowledgments, and intermediate code snippets that get revised before final output.
Community Reception
The Show HN post received modest engagement with a score of 6 points at time of reporting. While not a viral hit, the project is finding its audience among developers who want more transparency in how autonomous coding agents operate—especially important as these tools take on more significant roles in production environments.
Key Takeaways
- Agents Workbook provides visibility into AI agent reasoning chains
- Supports both Claude Code (Anthropic) and Codex (OpenAI)
- Open-source approach to agent observability
- Addresses growing need for debugging tools as autonomous coding agents proliferate
The Bottom Line
As AI coding agents graduate from experimental toys to production workhorses, tooling like this isn't nice-to-have—it's essential. If you're running Claude Code or Codex in any serious capacity, Agents Workbook might be the observability layer you've been missing.