Autonomous Coding Agents in Pure Python: AST Parsing, Self-Healing Loops and Sandboxed Testing

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A DEV Community engineering article describes building a sovereign autonomous coding agent in pure Python, avoiding recurring SaaS fees for commercial coding tools. The approach pairs probabilistic LLM reasoning with deterministic checks, using Python's ast module to validate syntax, extract symbols, measure complexity, and flag dangerous operations. Test suites run in isolated asynchronous subprocesses with strict timeouts, so untrusted code cannot corrupt the agent's process. Failing test output is condensed into structured diagnostics, such as the failing test, exception type, and offending frame, to keep LLM context focused. The article frames this as a closed loop in which the agent runs tests, formulates repair hypotheses, and applies verified patches.

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