Before You Let GPT-6 Astra Coding Agent Edit Your Repo: 3 Tests That Catch Costly Mistakes

GPT-6 Astra is presented as a tool-using coding agent suited to complex repository tasks such as diagnosing checkout-total discrepancies, planning backward-compatible database migrations, and fixing checkout accessibility regressions, but the guide emphasizes that its outputs require tightly bounded environments, explicit permissions, acceptance criteria, test evidence, and human approval. It recommends starting in disposable branches or worktrees with network access disabled, initially using read-only investigation, requiring failing regression tests before fixes, limiting changes to necessary files, and preserving test commands, exit codes, browser artifacts, diffs, rollback plans, and unresolved risks for review. Three example workflows cover aligning promotion-and-tax totals with charged amounts, splitting a customer full-name field while retaining compatibility and rollback options, and validating keyboard navigation and accessible error announcements on a local checkout page. The guide also proposes routing high-uncertainty tasks to Astra when officially available while assigning lower-risk reviews, summaries, and checklists to lower-cost models, and cautions that benchmark results, successful tests, and model claims do not replace repository-specific verification or a human merge decision.

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