Agent CI/CD Patterns: Evals as Tests in 2026 Production Pipelines
Treating evals as the test suite for agents finally clicks in 2026. The CI/CD pattern with PromptFoo, Braintrust, and GitHub Actions that catches regressions before production.
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Treating evals as the test suite for agents finally clicks in 2026. The CI/CD pattern with PromptFoo, Braintrust, and GitHub Actions that catches regressions before production.
Sizing LLM capacity needs different math than traditional workloads. The 2026 patterns for forecasting, peak handling, and reserve planning.
When building your own agent platform actually pays back vs when you should buy. The 2026 decision matrix with real numbers.
Agent testing needs three layers — unit, integration, trajectory — and most teams ship only one. The 2026 test-suite blueprint that catches real regressions.
When an AI agent is wrong on a high-stakes call, calibration matters more than accuracy. The 2026 calibration techniques and how to operationalize them.
The August 2026 EU AI Act deadlines are real. The technical files, transparency reports, and incident docs GPAI providers actually have to ship.
Red-teaming agentic systems requires new techniques. Attack trees, prompt-injection vectors, tool abuse, and the 2026 frameworks that find them.
Agents inherit user privileges in dangerous ways. The 2026 zero-trust patterns for agent permissions — scoped tokens, just-in-time access, audit.
GraphRAG moved from research to production in 2026. Three implementations side-by-side: Neo4j-based, Microsoft GraphRAG, and Graphiti's temporal graph approach.
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