Your team needs more engineering capacity
A feature, integration, or internal tool is waiting behind other priorities. Add a senior engineer for one workstream, using your existing patterns and review process.
Get a feature, integration, or fix built in your codebase
Add senior engineering capacity for a defined piece of work. Shore AI implements a feature, integration, fix, or internal tool inside your existing codebase, with tests, review context, documentation, and a handoff to your team.
This is hands-on build work. Thomas does the coding directly. If the first build creates value, further delivery can be agreed as another phase. Scope, acceptance criteria, access, review ownership, and the support period are defined before implementation.
Open the one-page briefImplementation and review
One real backlog item, compressed through the same gates your team already trusts.
Scope to handoff
- 1
Scope
Pick the backlog item, success criteria, constraints, and review owner.
First build selected - 2
Build
Agentic coding with repo-aware exploration, patches, and existing patterns.
Patch in motion - 3
Verify
Tests, QA notes, edge cases, and explicit tradeoffs.
Passing checks - 4
Review
Team review, requested changes, and quality gates.
Review-ready - 5
Continue
Ship the work, hand off context, and keep going if the loop earns more trust.
Shipped + expandable
When leaders bring this in
Start with a defined workstream, an available review owner, and acceptance criteria your team can assess.
You need a clearer delivery milestone
Define one implementation milestone with acceptance criteria, visible progress, and review-ready output. Your team can assess the result before agreeing to further delivery.
Who this is for
Teams that need real engineering capacity now and want the side effect of a concrete example that changes how people think about delivery.
Product Managers
You have priority work and limited engineering capacity. You need useful software shipped, not another tool debate.
Founders
You need a useful feature or integration implemented, with a clear scope and someone accountable for the work.
CTOs
You are evaluating AI-native practices. You need a controlled way to add delivery capacity and validate the method on real production work.
Engineering Leads
You want higher leverage without lowering review standards, maintainability, or trust.
Pilot deliverables
Working code and concrete artifacts from one real workstream, not a strategy deck or training session.
Shipped first build
A real backlog item implemented directly and left merged, staged, or merge-ready against agreed acceptance criteria.
Tests + QA notes
Coverage where it matters plus explicit manual verification notes.
Deployment support
Help getting the change through your normal release path.
Docs + handoff
Usage notes, implementation decisions, and follow-up context.
Agentic workflow playbook
The AI-assisted engineering loop your team can inspect, question, and reuse because it was attached to shipped work.
AI engineering pilot
How the build works
One agreed workstream with visible checkpoints, normal quality gates, and a documented handoff. Timing is agreed after reviewing the task, codebase, and team dependencies.
01 · Scope
Scope
Choose the first build, define acceptance criteria, map the repo, and agree on review gates.
02 · Build
Build
Implement the highest-value path with agentic repo search, patches, tests, and reviewer context.
03 · Verify
Verify
Run checks, harden edge cases, document tradeoffs, and review the PR in your environment.
04 · Handoff
Ship + decide
Merge, stage, or demo the work, hand off context, and decide whether the next workstream is worth continuing into.
Boundaries & trust
Discipline, transparency, and your data stay front and center.
Your code, your data
Work happens in your repos and environments. You retain all IP.
Least-privilege access
We use scoped access with audit logs and remove access when we are done.
Transparent by default
You see progress, decisions, and changes throughout.
Quality over speed
We follow your standards, tests, and review process.
No lock-in
We leave you with code, docs, and context you can run with.
Ready to ship the first build?
Let's choose the first workstream, move it through your quality gates, and keep going only if the work is worth it.