Capstone 16 — GitHub Issue-to-PR Autonomous Agent
Label an issue, get a PR — the 2026 product shape for autonomous coding agents: run an agent in a cloud sandbox, verify tests pass, and post a review-ready PR with rationale. AWS Remote SWE Agents, Cursor Background Agents, OpenAI Codex cloud, and Google Jules all ship it. The hard parts are reproducing the repo's build environment automatically, preventing credential leakage, enforcing per-repo budgets, and making sure the agent cannot force-push. This capstone builds the self-hosted version and compares it on cost and pass rate to the hosted alternatives. Phases exercised: P11 · P13 · P14 · P15 · P17 The async cloud coding agent is a separate product category from interactive coding agents (capstone 01). The UX is a GitHub label. You label an issue @agent fix this, a worker spins up in a cloud sandbox, clones the repo, runs tests, edits files, verifies, and opens a PR with the agent's rationale in the body. No interactive loop, no terminal. AWS Remote SWE Agents, Cursor Background Agents, OpenAI Codex cloud, Google Jules, and Factory Droids all converge on this. The engineering challenges are concrete: environment reproduction (the agent has to build the repo from scratch without a cached dev image), flaky tests (must be re-run or isolated), credential scoping (a GitHub App with minimal fine-grained permissions), budget enforcement per…
Capstone 16 — GitHub Issue-to-PR Autonomous Agent: Label an issue, get a PR — the 2026 product shape for autonomous coding agents: run an agent in a cloud…
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