Building Predictable Delivery After an Acquisition
How shared definitions, daily attention to flow, and a sustainable pace helped an engineering organization become more predictable.
I help engineering organizations deliver faster without trading away quality.
I’m Patrick Cahill, an engineering leader and hands-on software architect based in Tampa. I build predictable delivery systems, strengthen architecture and quality, and help teams use AI inside clear, deterministic controls.
Where I create operating leverage
The goal is not more activity. It is an engineering system that converts business priorities into valuable software with less waiting, rework, and delivery risk.
Predictable delivery
Align Product and Engineering around clear intake, explicit definitions of ready and done, smaller batches, visible risk, and a sustainable operating cadence.
Engineering transformation
Unify practices across products, develop engineering managers, clarify ownership, and create delivery signals that executives and teams can trust.
AI with deterministic controls
Use AI where it creates measurable leverage, bounded by behavior-first tests, architectural fitness functions, security checks, and clear human accountability.
The Journey: From Coverage Metrics to Behavior-First
The final post in a 9-part series — tying together every lesson learned on the journey from brittle 80% coverage to resilient behavior-first testing.
TDD with AI: Supervising Agents Through Tests
How test-driven development becomes even more powerful when AI agents write the code — tests as contracts, specifications, and the primary communication channel.
Tests as PR Documentation
Why the first thing I look at in any pull request is the tests — and how treating diffs as a communication medium makes code review faster and more effective.
Operating experience
- Company
- Outbound.com
- Role
- Co-founder & CTO
- Date
- Company
- Linq.com
- Role
- Director of Engineering
- Date
- Company
- Script (Acquired by LINQ)
- Role
- Co-Founder & CTO
- Date