Make AI-Generated HTTP Endpoints Prove Themselves on a Disposable Server

<p>Snap just announced that AI agents generate over 65% of their new code. The same week, they laid off roughly 1,000 employees — 16% of their workforce. CEO Evan Spiegel shared

<p>My build passed on my laptop. It died on a free server in 40 seconds.</p> <p>Same code. Same lockfile. Same commit hash. So what changed?</p> <p>The answer is boring and

<p>I read the phrase "spec-driven development" and immediately decided it was for people without taste. Six months later, Claude Code generated a discount system that applied

<p>MCP is one of the most thoughtfully scoped technical standards to come out of the AI ecosystem. That scope is intentional. Understanding exactly where MCP stops is the

<h2> TL;DR </h2> <ul> <li> <strong>DeepSeek V4 shipped April 24, 2026</strong> in two flavours: <strong>V4-Pro</strong> (1.6T MoE / 49B active) and <strong>V4-Flash</strong> (284B

<p>Why this is worth reading: a free model can hand you a working service in one prompt, and a free server can publish it before you have read the control flow. The cheap path

<h2> The risk in one paragraph </h2> <p>Every time your team deploys software to AWS, a pipeline authenticates with credentials that can modify production infrastructure. In most

<p>Last month I was integrating with a payment API. Wrote my tests against a mock server, everything passed, shipped to staging — and the whole flow broke.</p> <p>The mock told me