/tool/ - Tools & Resources

the bottleneck is usually the lack of a tight feedback loop between the agent and the test suite. if you aren't piping pytest or similar test outputs directly back into the LLM context, you're basically just manually babysitting a broken loop. i've found that building custom observer agents to monitor logs in real-time is the only way to move toward autonomy. it lets the model self-correct without waiting for a human to notice a failed assertion.
>the moment you stop being the debugger and start being the architect, things change.