Building a Loop-Based Autonomous Agent in Practice
DavidKPiano · x · 2026-07-14
This project focuses on developing a loop-based autonomous agent capable of monitoring issues and clearing backlogs, using the issue tracker itself as a dogfooding scenario to feed and improve the agent.
The author emphasizes that while this isn't a polished demo, the goal is to showcase a stable and reusable tool stack:
- Utilizing Pi as the agent harness to maintain internal control over the loop, rather than relying on externally hosted agents.
- Running inside a Docker workshop container, powered by GPT-5.5 via subscription.
- Advocating a plan-before-prompting approach, such as sketching with TLDraw and conducting an interview-style "grilling" to refine the thought process.
- Believing that Herdr + Pi is a powerful combination for building custom workflows, also noting that Lakebed is "quite useful."
Overall, the author is sharing a practical agent engineering stack and experimental concepts.
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