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All digests tagged CI/CD Pipelines
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Learn how to scale custom AI agents from local development to autonomous CI pipelines. Discover agentic workflows, marketplaces, and cross-repo automation using GitHub Copilot.
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Evals are 'fuzzy unit tests' for non-deterministic AI systems. They provide ahead-of-time reliability, complementing runtime harnesses. Learn how to build an Eval suite, mitigate judge biases, and integrate it into a CI gate for production-grade safety.
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Agent adoption is a leadership problem, not an IC one. Successful implementation requires systemic changes—specifically 'harness engineering'—to manage codebase complexity and ensure reliable agent performance across teams.
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AI introduces new failure modes: prompt injection, hallucination, and insecure patterns in CI/CD pipelines. Learn how these risks affect modern build processes and what guardrails are needed.
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As agents write 95% of our code, traditional review fails. Learn about 'harness engineering': defining invariants, using analytics on agent logs, and implementing risk policies to keep quality high.
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