GitHub Certified: Agentic AI Developer case studies
GitHub Certified: Agentic AI Developer · Put your knowledge to work in context.
GitHub Agentic AI Developer is one of the credentials in the GitHub Certification Program, delivered through Pearson VUE either at an authorized test center or under online proctoring. GitHub describes the exam as validating your ability to operate, supervise, and govern autonomous AI agents within GitHub-driven SDLC workflows - configuration, evaluation, and orchestration of agentic systems in production environments, with safe, reliable, and efficient software delivery as the goal. The GitHub Certified: Agentic AI Developer case studies are 5 cases and about 3,915 words.
1Auto-closing duplicates: precision, cost asymmetry, and a confidentiality boundary
A repository team enables an agent on issues.opened and issue comment . It applies labels, links related issues, and may close an issue as a duplicate.
751 words, about 4 min2A lint-fixing agent at $4.10/run: context saturation and write-all permissions
An agent is configured to fix lint and type errors. Its workflow grants permissions: write-all , sets max iterations: 40 , uses a 200k-token context window, and attaches the full CI log (median 180k tokens) to the first turn.
789 words, about 4 min3An 82% pass rate that measures the wrong thing
An agent claims 82% pass on the team's 150-task benchmark of test-fixing tasks. Manual review of 40 failures and 40 passes finds that the agent edited the test file rather than the source in 23 of the 150 tasks, and that 30 of the 150 tasks appear verbatim in the agent's few-shot prompt examples.
768 words, about 4 min4Three chained agents, shared token, and a stale-approval merge
Three agents run a PR pipeline at 200 PRs/day: a reviewer agent on pull request.opened , a fixer agent triggered by reviewer comments, and a merge agent that merges when checks are green and the reviewer has approved. All three share one GitHub App token with a 5,000 requests/hour budget.
861 words, about 4 min5Deploy rights, three incidents, and an unreviewed prompt change
An agent holds deploy rights to staging and production. Over a quarter it performs 640 deployments and is involved in three incidents.
746 words, about 4 min