Test Double

Great software is made by great teams. We build both. 💚

Custom software agency with a pragmatic AI approach and experienced software & product consultants.

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The real prerequisite for effective AI at work isn't more autonomy. It's organizational observability: making intent visible enough for humans and agents to act well. https://t.co/d54s6G9QJS

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We're hiring a Principal Product Consultant at Test Double! We're seeking an experienced product leader who can partner with clients on complex product challenges, shape product strategy, and drive meaningful business outcomes.

Apply: https://t.co/Xix0xOIPux

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Claude Code permission fatigue is real, but sandboxing can help. A practical (and illustrated) guide from @_joedupuis to Seatbelt on macOS and Bubblewrap on Linux, plus an allow/kill/push heuristic for the prompts that remain: https://t.co/X6f88W4Gix

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A 1000-line, 55K-character setup guide loaded as one chunk = instant context compaction and a hallucinating wizard. Six lessons from @elpapapollo while building a Claude skill that walks devs through onboarding without burning tokens:
https://t.co/QSEz4JQvmv

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Software becomes legacy by succeeding long enough to accumulate the weight of every decision and shortcut made along the way. AI is changing legacy modernization, but not everything is getting better.

Read the full article from @toddkaufman https://t.co/NNMsWchpUZ

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AI doesn't have an accuracy problem. It has a target problem. Given/When/Then ACs are the clearest target you can hand a coding agent. Andy Vida adapted Three Amigos for solo devs working with AI: two design docs, one structured conversation, then code:
https://t.co/O9ZvS6WYmi

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You committed the two-line fix. The 40 minutes of investigation that produced it went nowhere. The next person (or agent) pays the same cost again. A TDD-shaped loop from Rick Reilly for capturing context across agent sessions: https://t.co/YwWCYpWnfJ

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The real prerequisite for effective AI at work isn't more autonomy. It's organizational observability: making intent visible enough for humans and agents to act well. https://t.co/d54s6G9QJS

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Every abstraction we've built since assembly was a subsidy paid to human cognition, funded by hardware. Take humans out of the inner loop and the rationale weakens.

@docondev shares a prediction about what languages and frameworks look like next:
https://t.co/WmwWk9eiUM

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Cyclomatic complexity, method length, naming conventions: every one of those metrics was a workaround for human cognitive limits. Agents don't have those limits. So what survives, and what gets renegotiated? @docondev shares reflections on craft:
https://t.co/Kj3XRFJXWA

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PC shift: ~10 years.
Web shift: ~5 years.
Agentic coding: 2-3, possibly less.

The first two expanded the profession. This one compresses it. @docondev shares thoughts on the pattern, and where the time actually goes: https://t.co/aQujVfSx8D

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AI changed the cost structure of software. Outputs may be cheap, but outcomes are still valuable. @dmosher says leverage has moved to the harness: lint rules, types, tests, ADRs, feedback loops. https://t.co/KabOBjRpfG

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Code coverage tells you a line ran. Mutation testing tells you whether your tests would notice if it stopped working. With agent-generated code, that distinction matters more than ever. @neall shows how Stryker keeps coding agents honest: https://t.co/vj1olAjlFW

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If you missed our Coffee Time session yesterday about AI harnesses and workflows you can catch up with the recording. Pour yourself a cup of coffee and listen in.

https://t.co/VjSk9m3hsk

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Stuck on a tough challenge?
➡️ Debugging a gnarly codebase?
➡️ Wondering whether to do a rewrite or refactor your legacy system?
➡️ Evaluating if your product idea is solving the right problem?
We've got you covered: free, no strings attached office hours
https://t.co/UHNFyZetX9

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When a wide range of things aren't working or didn't scale effectively, you hit trade off decisions. To make an effective business case for budgeting you need to ensure you're advocating for the right things. Our pragmatic and actionable assessments help you do just that.

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https://t.co/UtQvgvB4xp

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Talk to someone else who gets it. We offer free office hours to talk about challenging problems.

Pair with an experienced software developer or product manager who will ask you curious questions to help get you unstuck.

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https://t.co/CiRdbTpzAY

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The hidden math of team scaling: every new developer doesn't just add capacity—they add communication complexity, onboarding overhead, and code review bottlenecks. Make sure you're solving the right problem first.