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This blog breakdown covers real field reports from rewrite vs refactor decisions—including why paths were chosen for a specific situation. (Because there are usually multiple paths you could go down.)
Great read for devs trying to understand pros and cons of this choice for the first time. https://link.testdouble.com/882169
AI will tell you your architecture looks great. It will validate and walk you confidently into a dead end.
When you need someone to push back instead of agree ... that's what our free pairing sessions are for.
Turn the dumpster fire into something good. We take a pragmatic approach to using AI, and can help you get the most out of it.
Microservices scaling reality: MedTech with 50+ services, 235k daily requests
The Mission: Streamline and balance speed with quality
The Fix: Strategic simplification
The Results: 50% faster deployments, resolutions in minutes
Embedded advisory solving problems alongside your team > consultant recs that disappear
VP of Delivery @DocOnDev reflects on agentic coding as the third real sea change in software development. After PCs (decade-long shift) and the web (five years), the timeline keeps compressing.
The difference this time: prior shifts expanded the profession. This one contracts it.
Staff Consultant Brian Hughes reminds us why AI is bad at testing: AI tools are only as good as what they are trained on.
That includes 20 years of developers not enjoying writing tests *and* not spending time improving their practice of writing good tests.
Why? Developers who don't like writing tests used to cite time involved. But tests can actually make things both more efficient and provide better outcomes. That remains true today, if you care about the outputs.
940+ school districts, 12.6M daily API requests, two critical projects on tight deadlines.
Clever needed automated data processing + self-service identity management for their K-12 platform.
Accelerating quality delivery was only part of the story. We doubled throughput with secure and maintainable code, but also looked around corners to anticipate future needs and ensured knowledge transfer. https://link.testdouble.com/7937dd
We're successful when you no longer need us. This MedTech engagement shows what that philosophy looks like in practice:
- Built custom logging library the team now owns
- Created 5 technical katas they continue running
- Mentored 4 teams to lead their own improvements
- Established processes outlasting our involvement
50% faster deployments and troubleshooting in minutes are just the metrics. The real win? A team equipped to keep improving long after we're gone. https://link.testdouble.com/dmm
AI coding assistants are fast at building the wrong thing.
The fix: adapt Three Amigos for AI.
Business design doc → technical design doc → acceptance criteria.
Give the AI a real target before the first commit. More on the approach at https://link.testdouble.com/1c1143
Staff Consultant Brian Hughes breaks down the myth that software tests slow down developers.
If you're doing it right, software tests can actually speed you up.
