Agentic engineeringAI at every stage. People at every decision.
AI agents work alongside our teams from the first discovery call to production support. They take on the repetitive work, so our engineers can spend their time on the decisions that shape your product.
The Workflow
What the agents do, and what stays with people.
Claude and GPT run through the whole process. These are the tools at each stage and the decisions we never hand over.
- 01
Discovery
Every workshop and client call is captured and turned into structured notes, requirements and open questions, so nothing said in a meeting gets lost on the way to the backlog.
People run the conversations and decide what matters.
- Notion
- Granola
- Wispr Flow
- 02
Product and planning
AI helps us research the domain, draft specifications and user flows, and turn ideas into clickable prototypes in days rather than weeks.
Product leads own scope, trade-offs and priorities.
Claude Code
GPT
- 03
Choosing the right services
Our internal AI tooling compares cloud services, APIs and third-party platforms against each project's requirements, cost and constraints before we commit to them.
Architects make the final call and document why.
- In-house selection tools
- 04
Development
Coding agents handle scaffolding, boilerplate, tests and refactors. Engineers agree the plan with the agent before code is written, and stay responsible for the logic.
Engineers own the design and every line that ships.
- Claude Code
- GPT
- 05
Code review
Every pull request is reviewed automatically by our own review tool and by CodeRabbit, catching bugs, security issues and inconsistencies before a person reads it.
Engineers review and approve every merge.
- In-house review tool
- CodeRabbit
- 06
Deployment
Release steps, infrastructure changes and release notes are prepared with AI assistance, and checked before anything reaches production.
Engineers approve every release.
- Claude
- 07
Monitoring and support
Our monitoring and support agent watches every event across the applications we run. When something goes wrong it investigates, finds the root cause and prepares a fix.
An engineer reviews the diagnosis and finalises the solution.
- In-house support agent
What It Means For You
Faster, with more care, not less.
Faster delivery
Agents take on the repetitive work, so features reach your users sooner.
More senior attention
Engineers spend their time on architecture, edge cases and your business, not boilerplate.
Fewer surprises
Two automated reviewers on every pull request and an agent watching production around the clock.
Nothing ships unchecked
AI does the legwork. People make the decisions and stay accountable for the result.
Build It For You
The same thinking, applied to your business.
Also In How We Work
Want a team that already works this way?
Tell us about your product and our team will show you how this workflow would apply to it.