AI Engineering & Talent
AI Software Engineering
We build software using AI assistance the way it should be used in a serious codebase: as an accelerator inside your standards, your review process and your quality gates, not as a substitute for them.
The business problem
Speed without review is a loan
Assisted development produces more code, and the constraint moves to review. Teams that do not strengthen review take on debt that shows up later as defects, unowned code and a system nobody fully understands. The productivity is real; so is the interest.
What we do
Use it where it helps, review everything
Our engineers use AI assistance for the work it genuinely accelerates: scaffolding, tests, migrations, documentation and refactoring under a clear specification. Everything goes through the same review as anything else, provenance is recorded, and dependencies are evaluated rather than accepted. Where the work touches regulated logic or licence-sensitive areas, assistance is restricted deliberately.
AI Software Engineering
Capabilities
-
Coding Agents
-
AI Code Generation
-
AI Code Review
-
Automated Testing
-
Documentation Automation
-
DevOps Agents
Common use cases
Common use cases
- Deliver a project faster without lowering the review bar.
- Work through a large migration or refactor with a specification and tests as the contract.
- Raise test coverage on a codebase where writing tests never gets prioritised.
- Bring assisted development practice into a team that has adopted the tools informally.
How we deliver
How we deliver
-
Scope
Agree the role, the stack, the seniority and how success will be judged.
-
Select
You interview. Nobody joins the team without your agreement.
-
Embed
They work in your tools, your process and your review cycle, reporting to your lead.
-
Sustain
Capacity flexes with the roadmap; knowledge stays documented rather than in one head.
Technology
Technology
- TypeScript
- Python
- Go
- React
- Node.js
- Kubernetes
- GitHub Actions
- Terraform
Security & governance
Security & governance
Engineers work under your access model and your code of conduct, on your infrastructure, with the same review and approval gates as your own staff. Intellectual property in the work is yours. Where AI coding assistance is used, it passes through the same review as anything else, and the provenance of generated code is recorded.
Engagement models
Engagement models
Forward-Deployed AI Team
A cross-functional AI team works inside your organization to continuously find and deliver opportunities.
Dedicated AI Team
Long-term dedicated engineering capacity built around your stack and delivery model.
Managed AI
We operate, monitor and continuously improve production AI systems.
Why TeamExtension.ai
We do this on client codebases already
This is how we work, not a service we assembled for the market. That includes the honest parts: where assistance costs more than it saves, and where the review overhead exceeds the speed gained.
Selected clients
Frequently asked questions
Frequently asked questions
How do we know the code is understood?
What about licence exposure?
Is it actually faster?
Can you work in our repositories?
Related capabilities
Related capabilities
AI Engineering & Talent
AI Software Engineering Transformation
Adopt coding agents and AI-assisted delivery without losing review capacity, quality or auditability.
Learn moreAI Engineering & Talent
Dedicated AI Teams
Long-term AI engineering capacity built around your stack, your standards and your delivery model.
Learn moreAI Security
AI Security Testing
Test AI applications for the failure modes conventional application testing does not cover.
Learn moreDiscuss Your AI Initiative
Coding agents, automated testing and AI-assisted delivery applied inside a real review process.