Focused verification
Test the behavior closest to a change first, then use broader regression where the impact warrants it.
CAPABILITY 03 / QUALITY & ENGINEERING
Engineering discipline is not about producing the most paperwork. It is about creating enough clarity and evidence to make changes with confidence.
OUR ENGINEERING VIEW
AI-assisted development can accelerate coding, but it also makes it easier to produce large changes quickly. A small team benefits from knowing exactly what changed, how it was checked and which questions remain open.
We explore practices that make reviews proportionate to risk: focused tests, clear change boundaries, durable documentation and deliberate integration points.
Read: Quality gates for small teams ↗DISCIPLINES WE VALUE
Test the behavior closest to a change first, then use broader regression where the impact warrants it.
Preserve the reasoning behind important architectural or product choices so later work can be evaluated in context.
Separate building from judging when the risk justifies it, and avoid silently changing the object under review.
CHANGE CONTROL
Specify the expected behavior, relevant assumptions and what the work explicitly does not include.
Keep a reviewable version, understandable file changes and a rationale for the chosen implementation.
Use targeted checks and broader validation where needed, while documenting limitations and coverage gaps.
Accept, revise or stop based on evidence rather than treating activity as completion.
WHAT QUALITY IS NOT
The right level of formality depends on the product, the people using it and the consequences of failure. A tiny utility and a data-heavy decision system need different kinds of evidence.
Keep tests and documentation connected to real decisions. A checklist that no one understands is not a substitute for a system that can be observed, tested and repaired.
RELATED DISCIPLINES
AI PRODUCTS
Understand where models belong within a broader application and how their output should be evaluated.
AI & SaaS development ↗AUTOMATION
Connected processes need meaningful error paths, traceability and well-defined handoffs.
Workflow automation ↗OUR PRACTICE
See how product questions and engineering checkpoints connect.