coding-agent

name	coding-agent
description	Plan a coding task, generate and execute Python, and loop on reviewer feedback until the code passes -- a plan/code/judge fix-loop with governed execution.
subgraph	graph.yaml

coding-agent

Plan → code → review fix-loop. The code node generates a self-contained Python script and runs it through std.python_exec@1 (capability-gated tools:std:exec, default-deny); a judge node reviews the code plus its execution result against the rubric. On fail, the reviewer's rationale is re-injected into the brief and the loop retries; on pass, the graph halts.

State

• Input: task -- what to build.
• Outputs: code (the approved script), run_result (stdout/stderr/exit_code envelope), verdict, score, rationale.

Use

• Standalone: stargraph run graph.yaml (grant tools:std:exec; set the LM via --lm-model/--lm-url or per-node config.model).
• As a subgraph: kind: subgraph, spec: <path to graph.yaml>; config.max_steps bounds the fix-loop.

Tuning

Edit graph.yaml: the review rubric, the brief template, or the code node's timeout_s.