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Documentation rot used to be cheap because a confused human would ask a question. AI coding agents don't ask. Here's the CI-enforced system that catches drift before an agent acts on it.
TypeScript 6.0 shipped as the last JavaScript-based release. TypeScript 7.0 brings a Go-native compiler with genuine 10x build speedups and removes the Compiler API that a surprising share of tooling depends on.
Most AI coding tool comparisons measure autocomplete and greenfield code generation. Backend engineers spend most of their time reading, debugging, and refactoring — a different workflow with a different ranking.
Most passkey pilots succeed. Most migrations stall. Here are the three engineering problems that show up only in production B2B SaaS — and how to solve them before you're six months in.
Three years after the second brain movement peaked, most engineers have quietly stopped opening their PKM systems. Here is what worked, where things collapsed, and what three habits actually survived real deadlines.
MCP is becoming the standard interface for connecting AI agents to external tools. But most teams adopting it don't have a clear picture of what the protocol covers and what it deliberately leaves out.
Most engineering metrics measure activity, not outcomes. As AI coding tools inflate the numbers further, it is time to be honest about what actually signals a healthy engineering team.
Most engineering teams review code the same way, and most are spending their time on the wrong things. A checklist for what only a human can catch — and what to stop debating.
Most teams have a system for adding feature flags. Almost none have a system for retiring them. Here is the full lifecycle: flag types, staleness detection, and the cleanup playbook.
AI-generated codebases have 2.5x more critical vulnerabilities than human-written code. The useful finding: five predictable patterns that standard code review is not designed to catch.
Most teams discover that their AI agent has been burning money the wrong way after the invoice arrives. Five operational controls prevent that — and most teams build them too late.
Developer PR rates nearly doubled on AI-heavy teams. Review time went up 91%. Here is what the data says about why faster code has not led to faster delivery — and three structural changes that do.
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