.Agentic Engineering Bakv1.0.0

A small startup uses the agentic engineering skill to ship an MVP where AI agents write most of the code while a senior engineer gates quality. Eval-first loops and 15-minute task units keep the fast cadence from turning into unverifiable churn. The team tracks cost per task to stay within seed-stage budgets.

A bank assembles a pod of AI agents plus two reviewers to refactor legacy COBOL-derived services into modern APIs. Opus-tier models handle architecture and multi-file invariants, while Sonnet executes refactors backed by regression evals. Review focus targets auth assumptions and rollout risk rather than style.

A healthtech company applies the skill to build patient-facing features where AI-generated code must satisfy compliance and privacy constraints. Capability evals encode clinical edge cases, and fresh sessions are started at regulatory phase transitions. Cost and retry tracking feed into audit reports.

An e-commerce team uses agentic engineering to roll out checkout and inventory improvements before peak season. Agents handle narrow edits and boilerplate via Haiku, while Sonnet implements checkout refactors. Session compaction after each milestone keeps context tight during high-stakes rollout.

A consultancy standardizes its client engagements around the agentic engineering skill to make AI-driven delivery repeatable. Each engagement defines completion criteria and decomposition rules up front, then routes model tiers by task complexity. Clients receive per-task cost and success dashboards as part of the deliverable.

A SaaS platform that codifies eval-first loops, task decomposition templates, and model-routing policies for engineering teams. It integrates with repositories and CI to automatically run capability and regression evals on agent output. Teams pay per seat or per active agent run.

A services model where a vendor supplies senior engineers to supervise fleets of AI agents building software for clients. The vendor applies the skill's decomposition, session, and cost-discipline practices to deliver faster than traditional staff augmentation. Pricing is tied to milestone outcomes rather than raw hours.

A training business that teaches engineering leaders and ICs how to run eval-first AI workflows, model routing, and review discipline. Courses combine live cohort workshops with a certification that signals competence in agentic delivery. Graduates bring the skill back into their organizations, driving adoption.