Why Every Engineering Team Needs an AI-First Development Workflow in 2026
The teams shipping twice as fast aren't working harder — they've rebuilt their workflows around AI assistance at every layer.…
Read →The most expensive technical decisions in most engineering careers aren’t the ones that break immediately. They’re the ones that calcify into permanent constraints — choices made quickly in year one that you’re still working around in year five because changing them would break every integration you’ve built. API design is ground zero for these decisions.
The most common API design mistake is shipping v1 without thinking about what v2 will look like. Whether you use URL versioning (/v1/, /v2/) or header-based versioning, the mechanism needs to be in place before you have consumers. Adding it retroactively after your first major integration is painful. Adding it before means you have a clean upgrade path when you need it.
REST APIs should be organized around resources (nouns), not operations (verbs). /api/users/{id}/activate is fine. /api/activateUser is not. The distinction matters because resource-oriented APIs compose predictably — consumers can reason about the API surface from first principles rather than learning a custom verb vocabulary.
Error responses are the part of API design teams invest the least in and regret the most. A consistent error response schema — with a machine-readable error code, a human-readable message, and enough context for debugging — is more valuable for API consumers than perfect happy-path design. Invest in it early.
The teams shipping twice as fast aren't working harder — they've rebuilt their workflows around AI assistance at every layer.…
Read →We surveyed 400 engineering teams who made the switch either direction. The results challenge most of what you've read on…
Read →Dotfiles, aliases, and a few overlooked tools that compound into serious productivity gains over time.
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