Decision model vs LLM: when agents should classify, route, and gate
When should an agent use a decision model vs an LLM? A practitioner look at TypeSafe Jev use cases for tool approval, routing, and typed Choice/Score outputs.
Read the articleBetter Technologies,
Better Results
Notes on the technology decisions behind the systems we build.
How QA moved in the AI era
Releases got faster and bugs got sneakier. How QA roles, tools, and techniques moved from classic automation to AI-assisted testing, eval harnesses, and the work we still keep human.
The verification tax is the real agent bill
Agentic coding made generation cheap. The bill moved to CI, browser gates, review tokens, and avoidable reruns. How we cut that tax without softening quality.
Which backend agents actually handle well
Nest, Laravel, Django, ASP.NET Core, and Spring Boot compared for coding agents. Not AI SDKs. Golden paths, types, CLI, magic, and what public benches actually measure.
A software factory is how we keep agentic work shippable
Coding agents are fast hands. A software factory is the floor under them: a ruleset, a map, a broker, and a human who still reads the diff.