Insights & Articles

Field notes from the work. Sovereign AI, agent grounding, compliance architecture, and the things we learned the hard way.

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Three abstract glowing clusters representing amnesia, hallucinated endpoints, and tribal silos in AI-augmented engineering.

May 5, 2026 | Engineering Reality

Amnesia, Hallucinated Endpoints, Tribal Silos: Why AI Made Your Team Busier, Not Faster

Key Takeaways A randomised trial by METR found AI made experienced developers 19% slower, while they believed it had sped them up by 20%. Adoption is high. Trust is low. Only 24% of developers trust AI-generated code “a lot” or “a great deal” (DORA, 2024). The bottleneck has moved from writing code to debugging code […]

April 20, 2026 | Engineering Reality

The Same Bug, Every Six Months: Why Your Team Needs a Gotcha File

Key Takeaways The same library quirks, schema mismatches, and silent-fail behaviours get rediscovered every six months because nobody can find the writeup from last time. Confluence pages and Slack threads are the worst place to keep gotchas: invisible to retrieval, not surfaced when the symptom returns. Treat gotchas as a first-class entity type in the […]

March 25, 2026 | Engineering Reality

AI-Powered? Buyers Stopped Reading at “AI-Powered”

Key Takeaways “AI-powered” as a headline is buyer-side noise. Teams evaluating an AI feature ignore it and look for substance underneath. Three questions show up in every serious procurement conversation: provenance, error handling, data sovereignty. Provenance: where does the model get its answer, and can you cite it back to a source. Error handling: what […]

Insights & Articles

Amnesia, Hallucinated Endpoints, Tribal Silos: Why AI Made Your Team Busier, Not Faster

The Same Bug, Every Six Months: Why Your Team Needs a Gotcha File

AI-Powered? Buyers Stopped Reading at “AI-Powered”

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