Developer tools

TypeSafe's Jev is closed, hosted and waitlisted, so the open reimplementations started landing within a day. Laya, Kev, SemIf, NanoJev and jevlike, ranked by GitHub stars, with latency measured on an M3 Pro, the independent benchmark where Jev still wins on accuracy, and what each one actually needs to run.

TypeSafe's Jev is a System One model that returns typed decisions instead of text: 70-500ms latency, $0.042 per million input tokens with output free, and 0% structured-output errors. Here are the three jobs it actually fits, the honest benchmark picture against GPT-6 Astra and Claude, and the tasks where it is the wrong tool.

A technical guide to testing webhooks on localhost in 2026 - provider CLIs like stripe listen and gh webhook forward, HTTPS tunnels, relay services like Hookdeck and Svix, plus the raw-body signature trap that breaks most handlers.

Struggling with the new trends and shifts to become an excellent developer? Find out how developers can stay ahead in a fast-changing tech landscape.

Explore how you can launch a SaaS product with simple infrastructure, faster testing, and fewer technical headaches while keeping room for growth.

A 5,292-session study measured which vendors Claude Code, Codex, and Cursor actually pick for payments, databases, email, and storage. The agents agree with each other only 42% of the time.

How can you free up space on your SSD and monitor RAM and CPU usage? How can you prevent overheating and boost performance? Practical tips on workstation optimization for developers.

A practical comparison of Funnel.io, Coupler.io, Fivetran, Airbyte, and Supermetrics: connector coverage, ELT vs marketing-first workflows, self-managed vs fully managed pipelines, and entry pricing from $24 to $300 a month.

Long-horizon agent runs fail for structural reasons, not intelligence reasons. Here is what actually holds a multi-hour agent workflow together: a written success contract, separated discovery and delivery phases, persistent state outside the context window, external test oracles, checkpoints, and hard limits on autonomy.

git.kernel.org now spends more CPU rendering pages for AI training scrapers than on every git clone and legitimate visit combined. Here's what the numbers say, why proof-of-work challenges like Anubis are winning and losing at the same time, and what it means for anyone running their own infrastructure.