Reproducible environments for coding agents

Reproducible environments for coding agents make results easier to verify, repeat, and trust by recording the source revision, operating system, toolchain, dependencies, commands, outputs, and resulting code changes for each run. The approach relies on starting from a clean named commit, using checked-in lockfiles and executable environment definitions such as containers or machine templates, and storing standard installation, testing, linting, and build instructions in the repository. Each parallel agent should use an isolated worktree or disposable workspace to prevent mutable files, caches, or dependencies from interfering with other runs, while shared caches should remain read-only or carefully namespaced. Agent outputs should preserve commands, exit statuses, test summaries, and relevant logs or screenshots, with discrepancies between local and CI results treated as evidence of missing environment assumptions rather than reasons for unexplained retries. Consistent environments also support software supply-chain assurance, clearer failure analysis, fairer comparisons between agents or prompts, and more concrete evidence for reviewers evaluating changes.

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