Developer Builds Browser-Based AI Workflow Tool, Finds Agents Left a Diary
A developer built agent-flow-canvas, a browser-based visual editor that lets users design and run AI agent workflows without any downloads, logins, or server-side processing. API keys are stored only in the user's localStorage and sent directly to providers like OpenAI, Anthropic, or Ollama, never passing through the developer's infrastructure. During the 84-commit build process, the developer used two collaborating AI agents — one writing code and one testing it — which communicated through a shared structured file called test_result.md. The file logged each task, which files were changed, pass/fail status, and a timestamped history of attempts, including a 'stuck_count' field tracking how many times the same problem recurred. The developer noted that the resulting log read less like technical documentation and more like a correspondence between two agents reasoning through problems and leaving notes for whoever picks up the work next.
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