
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 articleNotes on the technology decisions behind the systems we build.

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 articleReleases 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.
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.
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.
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.