Scope
Choose the production workstream, acceptance criteria, repo context, and review owner.
1-week pilot brief
A focused pilot for product teams under backlog pressure. We take a scoped feature, workflow, integration, or technical improvement through implementation, tests, review, documentation, and handoff inside your existing engineering process.
A bounded production workstream moves through the same gates your team already trusts.
Scope to shipped evidence
Choose the production workstream, acceptance criteria, repo context, and review owner.
Implement the highest-value path using AI-assisted exploration, patches, and tests.
Run checks, harden edge cases, document tradeoffs, and capture QA notes.
Prepare the PR context, respond to review, and keep normal quality gates intact.
Merge, stage, or demo the work, then hand off the repeatable workflow.
The output is concrete enough for engineering to inspect and small enough for leadership to evaluate quickly.
This is not a workshop, broad AI transformation program, or extra pair of generic development hands. It is a controlled proof point for whether the team can use AI-assisted engineering to move faster without lowering standards.
Thomas Mancini does the work directly. No junior handoff, staffing bench, or strategy-only layer.
The pilot happens inside the existing codebase and process so the team can judge real output.
Useful when investors or operators already have strategy and need a hands-on execution layer.
Work happens in your repos and environments. You retain all IP.
Scoped access, normal audit trails, and access removal after the pilot.
Progress, decisions, tradeoffs, and changes are visible throughout.
Production changes stay behind normal PR, QA, and release gates.
Use it when a founder, CTO, PM, board member, or investor needs evidence before asking the broader engineering team to change how it works.
Thomas Mancini | thomas@shoreaiconsulting.com | https://www.shoreaiconsulting.com/ai-native-engineering