Hands-on software engineering where people and AI tools work the same
backlog. Agents draft and iterate; a senior engineer steers design,
review, and what actually ships.
Applied Development
Use AI on Real Work—Not as a Demo.
This is ordinary engineering with better tools: features, tests, and
refactors in the same loop, with someone accountable for architecture
and sign-off. Parallel tracks, remediation, and release paths live
with the rest of the services—not duplicated here.
Pair-Programming with AI
Architecture, code, and review in the same loop.
Work side-by-side with AI the way a senior engineer pairs with a
colleague. Agents draft and iterate; the operator steers design,
catches edge cases, and owns what ships. The outcome is working
software—APIs, services, UIs, and data layers—not demos that die in a
slide deck. Throughput is measured in finished increments that pass
review and survive production, not tokens generated or tools installed.
Best for: product and platform teams that want higher throughput without giving up ownership of the codebase—and still answer to audit, uptime, and customer trust.
Typical deliverables: feature slices, shared libraries, refactors with tests, release-ready increments, and a repeatable collaboration rhythm for the team that maintains the work.
Quality Gates for AI-Assisted Work
Speed is useless if the merge is wrong.
Treat AI output like any junior draft: review for correctness,
security, maintainability, and fit with domain rules. Establish
practical gates—diff review, tests, dependency hygiene—so assisted
changes stay trustworthy under load and over time.
Best for: teams already using AI tools who need a senior eye on what is landing in main.
Typical deliverables: review standards, risk notes on critical paths, and hardened merge practices for AI-assisted PRs.
How Work Is Scoped
Focus
Typical deliverable
Example scenario
Collaborate
Paired feature delivery
Ship a new service or module with AI as the pair
Review
Quality standards + audits
Raise the bar on AI-assisted pull requests before merge
Where Adjacent Work Lives
Same intent, one place to read it.
AI-assisted development is the pairing and review practice. Coordinating
tracks, paying down debt, and getting bits to production are covered
in the pages that already own those problems: