LAYA AI vs Jev: what changes when you run it locally
A documentation and source review of LAYA next to Jev: deployment choice, benchmark caveats, the router's default checkpoint selection and what a real evaluation would need.
Writing about AI and software
Search across everything I’ve published, or scan the full list below. New pieces land here first, in English and Spanish.
All articles
8 articles
The coding agent is becoming a runtime
How GitHub and JetBrains describe the shift from line-by-line suggestions to an agent that owns a scoped task, with permissions, evidence and a stopping point.
MCP's stateless turn
The Model Context Protocol's stateless core removes session affinity from the transport layer. What that changes for scaling, tracing and existing integrations.
The sandbox is part of the product
What makes a coding agent safe enough to run on a real repository: sandbox boundaries, approval policy, network controls and telemetry as separate, layered controls.
Long-horizon coding changes benchmarking
Why a single prompt-latency number can't describe an agentic coding workload, and what MLCommons' agentic-inference work measures instead: trajectories, not calls.
What is Jev? TypeSafe’s decision model, explained
A developer’s guide to Jev, TypeSafe’s model for typed decisions, and the difference between a valid answer and a correct one.
Jev support triage with Choice, Score and Noul
Design a support workflow with Choice, Score and Noul. Inspect an offline-tested example that keeps every suggestion under human review.
Evaluating Jev before production
A practical plan to evaluate Jev: meaningful test cases, confidence, error costs and the work that remains with people.
No articles match your search.