FROM VIBE CODING TO AGENTIC ENGINEERING: PEV, CONTEXT, AND EVALS THAT SHIP
Production teams are moving from vibe coding to agentic engineering that plans, executes, and verifies work with tight context and evals. A practical guide to ...
Production teams are moving from vibe coding to agentic engineering that plans, executes, and verifies work with tight context and evals.
A practical guide to agentic engineering argues for a Plan → Execute → Verify loop, with humans acting as architects and supervisors while agents plan, write, test, and ship; it cites real adoption signals like TELUS time-savings, Zapier-wide usage, and Stripe’s weekly PR throughput guide. Context discipline is emerging as a make-or-break factor: a new study shows repo-level AGENTS.md/CLAUDE.md files can degrade agent performance, pushing teams toward slimmer, task-scoped context that’s validated in CI (AGENTS.md breakdown, DevOps context engineering).
Architecturally, vibe coding is “already dead” at scale; production agents enforce planning, tests, PR gates, and continuous evals before code lands Stripe agent deep dive. For hands-on operating patterns—self-checks, context management, and when to escalate to humans—see this practitioner’s playbook effective coding agents.
It provides a repeatable method to ship AI-authored changes safely at scale.
It reduces AI slop and technical debt by enforcing context, tests, and feedback loops.
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Benchmark curated task-scoped context vs a single AGENTS.md in CI on your own repo and track fix-forward vs rollback rates.
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Gate agent-authored PRs behind unit/integration tests, SAST, and policy checks, and measure pass rates and lead time.
Legacy codebase integration strategies...
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Start with read-only agents proposing PRs under existing CI/SAST and incrementally grant scoped writes once evals stabilize.
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Map service contracts and data schemas, then seed agents with contract and migration tests to prevent cross-service regressions.
Fresh architecture paradigms...
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Design repos for agents from day one: task-scoped context folders, deterministic setup scripts, and golden tests per service.
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Treat evals as code by maintaining a small benchmark suite in CI and tracking agent performance over time.