Release fear down
Short feedback loops, thin slices, and tests that make production feel routine.
Currently contracting from Manchester
Software that keeps changing without getting scary.
Pack Software helps teams build quality foundations: test-driven code, short feedback loops, and architecture that keeps business options open.
Trusted in teams shaped by scale and product pressure
- BBC Sport
- Sky
- Electronic Arts
- Equal Experts
- Hopin
- NewDay
What that experience changes
Evidence, not theatre.
Teams moving faster
TDD habits that reduce review drag and make refactoring less political.
Architecture easier to change
Clear boundaries, domain language, and adapter seams where the pressure is highest.
What changes
Clarity first. Change by design.
The useful work is usually not a new framework or a bigger process. It is shortening the distance between a decision, a test, a release, and a real signal from people using the product.
Technical product delivery
Small slices, real user feedback, and production releases that keep business options open.
Front-end TDD coaching
Help teams move past brittle component tests into fast, behavior-led confidence.
Architecture for change
Ports, adapters, schemas, and domain language that make the next product easier to build.
AI-assisted engineering systems
Agents, skills, and guardrails that make AI useful without outsourcing judgment.
Operating principles
Built for calm delivery.
Feedback beats certainty.
The safest plan is the one that learns fastest. Demo early, measure honestly, and keep the code cheap to change.
TDD is a speed tool.
Fast tests reduce fear. Low fear means smaller releases, better refactors, and fewer production surprises.
Quality is a team property.
The goal is not heroic engineers. It is a system where good decisions are easier to repeat under pressure.
AI with discipline
AI that speeds delivery without lowering the bar.
The useful question is not whether a team can generate more code. It is whether the code still carries intent, tests, types, and boundaries when the work gets faster.
Guardrail TDD before generation
Review pressure Architecture, tests, types
Reusable learning Corrections become system behavior
Selected thinking
The practice behind the work.
Good fit
Bring a real product pressure.
The first conversation is useful when there is something valuable to change and the current system makes that change feel risky.
Reach out when
- A valuable product is getting harder to change.
- The team wants TDD to create speed, not ceremony.
- AI is already in the workflow and needs engineering discipline.
We will start with
- Where release fear shows up
- What the team already trusts
- The smallest useful change to try first