Agentic product delivery
Web, mobile and backend systems built by agents doing routine implementation under the direction of senior engineers.
Agentic AI
Ship better software, faster, with AI coding agents and senior engineers
We combine AI coding agents with experienced engineers and strict review gates. Use us to build your product, modernise an existing codebase, or set your own team up to work this way safely.
Agentic AI
Agentic Coding
- Services
- Delivery, modernisation, team enablement
- Guardrails
- Task cards, tests first, human review
- Languages
- TypeScript, Java, PHP, Python, Dart, SQL
- Ownership
- Your code, in your repository
Who it’s for
- Founders and businesses that need a product built well and quickly
- Institutions with ageing systems that need tests, upgrades and documentation
- Engineering teams that want to adopt AI agents without losing control of quality
- Organisations that need internal tools and integrations
Outcomes
What you get
- 01Working, tested software delivered in small, reviewable steps
- 02Higher test coverage and documentation as standard, not extras
- 03Senior engineers focused on architecture, security and review
- 04A clear record of every change: what was asked, what was built, who approved it
- 05A team that knows how to brief, review and steer coding agents
- 06Guardrails that keep secrets and production data away from AI tools
Capabilities
What we do
Codebase modernisation
Add tests, upgrade frameworks, refactor safely, document what exists and migrate legacy code.
Team enablement
Workshops and coaching for your developers: briefing agents, reviewing their work and keeping quality high.
Guardrails and governance
Task-card templates, protected paths, review gates, CI checks, agent instructions and an approved-tools register.
Internal tools and integrations
Dashboards, back-office tools, data pipelines and integrations between the systems you already run.
Code and security review
An independent review of your repository with prioritised, actionable findings.
How it works
How agentic delivery works
Speed comes from agents. Quality comes from the process around them.
Step 1
Specify
Requirements become small task cards with clear inputs, limits and acceptance tests.
Step 2
Test first
Expected outcomes and tests are written before any code.
Step 3
Implement
Agents implement each card on its own branch, inside the paths it is allowed to touch.
Step 4
Review
Automated checks, then senior-engineer review. Critical code gets a second, independent review.
Step 5
Release
People approve every merge. Continuous integration builds, tests and ships.
Our approach
Our guardrails
People are accountable
A named engineer approves every merge. Agents never merge, deploy or change protected settings.
Tests before code
Acceptance tests define done. Tests are never weakened to make new code pass.
No secrets, no real data
Agents work with synthetic data. Production data, credentials and keys stay out of their reach.
Vendor-neutral
We choose models and tools that fit the job and your policies, and configure them so your code is not used for training.
Engagement
Engagement models
Project delivery
A defined scope delivered in milestones, with acceptance at each one.
Dedicated team
A senior engineer with agent capacity working on your roadmap month by month.
Enablement programme
Workshops, coaching on your repository and a guardrail set-up for your team.
Readiness assessment
A review of your codebase, tests and processes, with a plan for adopting agents safely.
Stacks we work in
- TypeScript and Node.js
- React and React Native
- Java and Spring
- PHP and Laravel
- Python
- Flutter and Dart
- PostgreSQL and MySQL
- Git, CI/CD and containers
What you receive
- Working, tested code in your repository
- Documentation and runbooks
- Agent instructions and task-card templates
- Continuous integration quality gates
- Training materials for your team
FAQ
Frequently asked questions
Can’t find what you need? Ask us directly.
Is AI-written code safe to use?
Code is safe when the process around it is. Every change is tied to a task with acceptance tests, passes automated checks and is reviewed by a senior engineer before it is merged. Critical paths get a second independent review.
Who owns the code?
You do, as set out in our contract. Code lives in your repository from day one.
Will our code be used to train AI models?
No. We use tools and settings that exclude your code from model training and follow your organisation’s data policies.
Can you work with our existing developers?
Yes. Many engagements combine delivery with enablement, so your team learns the method while we build alongside them.
Which AI tools do you use?
We are vendor-neutral and choose the best fit for each job and your policies. The guardrails are the same whichever tools are used.
How do you price?
Fixed price per milestone for defined scope, or a monthly fee for a dedicated team. We confirm after a short discovery.
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Build it right, and faster
Tell us what you want to build or improve. We will propose a scope, a team and a delivery plan.