<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Miguel Côrte</title><description>Getting AI and automation into production, and keeping them alive there. Notes on AI agents, automation and engineering leadership by Miguel Côrte.</description><link>https://mcorte.com/</link><item><title>Your Agent Isn&apos;t Bad at Coding. Your Spec Is.</title><link>https://mcorte.com/posts/your-agent-isnt-bad-at-coding-your-spec-is/</link><guid isPermaLink="true">https://mcorte.com/posts/your-agent-isnt-bad-at-coding-your-spec-is/</guid><description>AI coding agents do exactly what you ask and guess the rest. A good spec isn&apos;t a long document. It&apos;s five short things: the outcome, the context it can&apos;t guess, the limits, how you&apos;ll check it, and when it should stop and ask.</description><pubDate>Sun, 01 Nov 2026 00:00:00 GMT</pubDate><category>AI Agents</category><category>Engineering Leadership</category><category>AI-Assisted Coding</category><category>Specifications</category><category>Code Review</category></item><item><title>Anthropic Just Outgrew Git. Your Bottleneck Is Next.</title><link>https://mcorte.com/posts/anthropic-outgrew-git-your-bottleneck-is-next/</link><guid isPermaLink="true">https://mcorte.com/posts/anthropic-outgrew-git-your-bottleneck-is-next/</guid><description>Anthropic moved its main codebase off Git after daily merges went from about 2,500 to over 30,000 in four months. You&apos;re not Anthropic. But the lesson applies to every team using AI to write code: the slow part is no longer writing it.</description><pubDate>Mon, 26 Oct 2026 00:00:00 GMT</pubDate><category>AI-Assisted Coding</category><category>Engineering Leadership</category><category>Developer Productivity</category><category>Code Review</category><category>CI/CD</category></item><item><title>Your AI Needs a Plan B</title><link>https://mcorte.com/posts/your-ai-needs-a-plan-b/</link><guid isPermaLink="true">https://mcorte.com/posts/your-ai-needs-a-plan-b/</guid><description>Every AI provider has bad days. Most companies never decided what their business does on one. Four questions to answer before the next outage, in plain English.</description><pubDate>Thu, 15 Oct 2026 00:00:00 GMT</pubDate><category>AI</category><category>AI Agents</category><category>Reliability</category><category>Operations</category><category>Engineering Leadership</category></item><item><title>The AI Layer Is the Last Thing You Build</title><link>https://mcorte.com/posts/ai-layer-is-the-last-thing-you-build/</link><guid isPermaLink="true">https://mcorte.com/posts/ai-layer-is-the-last-thing-you-build/</guid><description>Everyone wants to start with the AI. It works when it goes on last. The three floors to build under it first, in plain English, and a quick test for where your company is.</description><pubDate>Tue, 06 Oct 2026 00:00:00 GMT</pubDate><category>AI</category><category>Data</category><category>Automation</category><category>Operations</category><category>Engineering Leadership</category></item><item><title>A Confidence Score Is Not a Decision</title><link>https://mcorte.com/posts/jev-confidence-is-not-a-decision/</link><guid isPermaLink="true">https://mcorte.com/posts/jev-confidence-is-not-a-decision/</guid><description>Jev answers like a form and tells you how sure it is. How it works in plain English, how it compares to LLMs like ChatGPT or Claude, when to use each or both, and the four questions no model answers for you.</description><pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate><category>AI</category><category>Automation</category><category>Jev</category><category>LLM</category><category>Decision Making</category><category>AI Governance</category></item><item><title>You Can&apos;t Debug an Agent You Can&apos;t Reproduce</title><link>https://mcorte.com/posts/debug-agents-you-cant-reproduce/</link><guid isPermaLink="true">https://mcorte.com/posts/debug-agents-you-cant-reproduce/</guid><description>Teams instrument their agents properly and still can&apos;t debug them. The problem isn&apos;t missing traces - it&apos;s that a trace tells you what happened, and an agent bug is a question about why it chose that. The four levels of traceability, and the one most teams never reach.</description><pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate><category>AI Agents</category><category>Observability</category><category>OpenTelemetry</category><category>Production</category><category>Debugging</category></item><item><title>What Your Engineering Manager Job Becomes When Agents Write the Code</title><link>https://mcorte.com/posts/em-job-when-agents-write-code/</link><guid isPermaLink="true">https://mcorte.com/posts/em-job-when-agents-write-code/</guid><description>When agents write most of the code, the engineering manager job doesn&apos;t shrink - it moves one station down the line, to review, coherence, and restraint. Here&apos;s what actually changes, and what to do in the next 30 days.</description><pubDate>Mon, 24 Aug 2026 00:00:00 GMT</pubDate><category>Engineering Leadership</category><category>AI Agents</category><category>Engineering Management</category><category>Code Review</category></item><item><title>Building AI Agents That Actually Work: Why Foundation Matters More Than Features</title><link>https://mcorte.com/posts/building-ai-agents-that-actually-work/</link><guid isPermaLink="true">https://mcorte.com/posts/building-ai-agents-that-actually-work/</guid><description>AI agents don&apos;t fail because of bad models — they fail because of weak foundations. Learn the four pillars (data, processes, ROI, and architecture) needed to build scalable AI systems that actually work in production.</description><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><category>AI Agents</category><category>Artificial Intelligence</category><category>Automation</category><category>AI Architecture</category></item></channel></rss>