Agentic Workflows
ServiceAgentic Workflows is an experimental GitHub Actions capability from GitHub Next that lets developers run guarded, autonomous AI agents inside their CI/CD pipelines. It provides the orchestration, guardrails, and state management needed for agents to plan and execute multi-step development tasks without constant human prompts.
Stories
Completed digest stories linked to this service.
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Agents Need a Governance Layer Before They Scale2026-06-29Agentic AI is stalling on governance, not models or UI, and that changes where backend teams need to invest. ...
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Agentic-QE ships runtime “oracle” evals, durable-first tests, and a stability la...2026-06-29Agentic-QE now grades generated tests by running them against real and deliberately-broken code, and locks dow...
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Loop Engineering, Not Prompts: How to Make Coding Agents Ship Safely2026-06-25AI coding agents are moving from prompt hacks to loop engineering with verifiable checks, tighter scopes, and ...
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Internal AI agents move from experiments to standard practice2026-06-16Internal AI agents are moving from side projects to standard practice inside engineering teams. Okta is hirin...
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From stack traces to runbooks: making AI agents deterministic and debuggable2026-06-12AI coding agents are shifting from prompt fiddling to deterministic, documented workflows you can actually deb...
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From brittle tests to agentic QA: making AI-written code safe to ship2026-06-12Teams are shifting from manual review and brittle test scripts to agentic QA and pattern-tracking AI code revi...
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Agents are now a real workload: Uber’s bill and 1,000 deploys/month force ops, c...2026-06-08AI agents moved from experiments to production-scale work, exposing gaps in pipelines, cost controls, and acce...
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Run research spikes with an "AI intern": real lessons from pairing with ChatGPT2026-06-02A startup used ChatGPT as an "AI intern" to run a month-long data spike and scaffold a cross-branch query API....
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Agentic AI crossed the viability line; now the hard part is control2026-05-12A new benchmark shows multi-step agentic workflows are now practical, shifting the work from model choice to a...
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PocketOS data loss is a wake-up call for agentic AI in production2026-04-29PocketOS reportedly lost its entire dataset after an autonomous AI workflow misfired, exposing real blast-radi...