Phase 0: Agents in Production · 30 hours · Python (agent) · TypeScript (GitHub App) · YAML (Actions)
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.
Hiring signal: Can build capstone 16 end to end
Introduction
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
Type: Capstone Languages: Python (agent), TypeScript (GitHub App), YAML (Actions) Prerequisites: Phase 11 (LLM engineering), Phase 13 (tools), Phase 14 (agents), Phase 15 (autonomous), Phase 17 (infrastructure) Time: 30 hours
Objective
Learning objectives
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You've read the first 2 sections. The rest of this lesson covers The Problem, The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.
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