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Shore AIShore AI Consulting

AI engineering pilot brief

Ship the first AI-native engineering build inside your real codebase

Add hands-on engineering capacity for one feature, integration, fix, or internal tool. The work uses your existing codebase and quality gates, with agreed acceptance criteria, tests, review context, documentation, and a handoff to your team.

Scope, implementation, and handoff

Agree deliverables, timing, price, review ownership, and the support period before implementation begins.

Timing agreed after scoping

01 · Scope

Scope

Choose the first build, acceptance criteria, repo context, and review owner.

02 · Build

Build

Implement the highest-value path using agentic repo exploration, patches, and tests.

03 · Verify

Verify

Run checks, harden edge cases, document tradeoffs, and capture QA notes.

04 · Review

Review

Prepare the PR context, respond to review, and keep normal quality gates intact.

05 · Handoff

Ship + decide

Merge, stage, or demo the work, then decide whether to continue into the next useful build.

What gets delivered

The output is concrete enough for engineering to inspect and small enough for leadership to evaluate quickly.

Merged or merge-ready first build
Automated tests and QA notes
Deployment or staging support
Implementation docs and handoff
Reusable AI-native workflow pattern

Why this is different

This is not a workshop, broad AI transformation program, or extra pair of generic development hands. It is hands-on delivery that creates useful software first and shows whether the team should keep using the AI-native loop.

Principal-led execution

Thomas Mancini does the work directly. No junior handoff, staffing bench, or strategy-only layer.

Repo-level delivery

The pilot happens inside the existing codebase and process so the team can judge real output and the method behind it.

Expandable by design

Further delivery can be agreed as a separate phase. The initial project defines its deliverables, handoff, and support period.

Boundaries that keep the build safe

Your code, your data

Work happens in your repos and environments. You retain all IP.

Least-privilege access

Scoped access, normal audit trails, and access removal after the pilot.

Transparent by default

Progress, decisions, tradeoffs, and changes are visible throughout.

Review stays intact

Production changes stay behind normal PR, QA, and release gates.

How to use this pilot

Use it when a founder, CTO, PM, board member, or investor needs one useful build shipped before deciding whether to change team habits, vendor expectations, or delivery process.

Thomas Mancini | thomas@shoreaiconsulting.com | https://www.shoreaiconsulting.com/ai-native-engineering