<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Inferal Blog</title><description>News, insights and updates from the Inferal team.</description><link>https://infer.al/</link><language>en-us</language><item><title>What NASA Knew About If/Else That You Don&apos;t</title><link>https://infer.al/blog/what-nasa-knew-about-if-else/</link><guid isPermaLink="true">https://infer.al/blog/what-nasa-knew-about-if-else/</guid><description>In 1985, NASA built a rule engine called CLIPS. Forty years later, it still has lessons for every developer whose business logic is buried in procedural code.</description><pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate><category>rule-engines</category><category>clips</category><category>python</category><category>expert-systems</category></item><item><title>Separation of Concerns: You&apos;re Cutting Along the Wrong Line</title><link>https://infer.al/blog/separation-of-concerns/</link><guid isPermaLink="true">https://infer.al/blog/separation-of-concerns/</guid><description>The principle everyone agrees on. The application everyone gets wrong. What if data and code were never separate concerns?</description><pubDate>Wed, 11 Feb 2026 00:00:00 GMT</pubDate><category>architecture</category><category>databases</category><category>separation-of-concerns</category><category>data-modeling</category></item><item><title>Databases Don&apos;t Know Why You&apos;re Asking</title><link>https://infer.al/blog/databases-dont-know-why/</link><guid isPermaLink="true">https://infer.al/blog/databases-dont-know-why/</guid><description>What happens when your data system has no idea what you&apos;re going to do with the answer.</description><pubDate>Thu, 22 Jan 2026 00:00:00 GMT</pubDate><category>databases</category><category>architecture</category><category>data-systems</category></item><item><title>Attitude, Belief, Skill: A Hiring Priority Stack</title><link>https://infer.al/blog/abs-hiring-framework/</link><guid isPermaLink="true">https://infer.al/blog/abs-hiring-framework/</guid><description>What if conventional hiring has the priority order backwards?</description><pubDate>Mon, 19 Jan 2026 00:00:00 GMT</pubDate><category>hiring</category><category>startups</category><category>frameworks</category><category>teams</category></item><item><title>Fresh Data In, Fast Decisions Out</title><link>https://infer.al/blog/fresh-data-in-fast-decisions-out/</link><guid isPermaLink="true">https://infer.al/blog/fresh-data-in-fast-decisions-out/</guid><description>Most rule engines failed to gain adoption because database integration was weak. In today&apos;s fragmented data landscape, getting data in and decisions out isn&apos;t optional. It&apos;s the foundation.</description><pubDate>Wed, 07 Jan 2026 00:00:00 GMT</pubDate><category>rule-engines</category><category>data-integration</category><category>architecture</category><category>real-time-data</category></item><item><title>Code Is the Wrong Abstraction</title><link>https://infer.al/blog/code-is-the-wrong-abstraction/</link><guid isPermaLink="true">https://infer.al/blog/code-is-the-wrong-abstraction/</guid><description>Temporal, DBOS, Windmill, and Lambda Durable Functions solve state durability. But code itself is the problem: workflows aren&apos;t sequences you build. They emerge from conditions. And code can&apos;t express emergence.</description><pubDate>Mon, 05 Jan 2026 00:00:00 GMT</pubDate><category>workflows</category><category>rule-engines</category><category>architecture</category><category>temporal</category><category>declarative</category></item><item><title>Why AI Agents Ignore Your Instructions</title><link>https://infer.al/blog/instruction-adherence-research/</link><guid isPermaLink="true">https://infer.al/blog/instruction-adherence-research/</guid><description>We ran experiments to find out why AI agents forget project-specific rules. The results were surprising: less is more, prohibition beats reframing, and recognition doesn&apos;t equal adherence.</description><pubDate>Fri, 02 Jan 2026 00:00:00 GMT</pubDate><category>ai</category><category>llm</category><category>agents</category><category>research</category><category>developer-tools</category></item><item><title>Understanding Agent-Native Data Systems</title><link>https://infer.al/blog/understanding-agent-native-data/</link><guid isPermaLink="true">https://infer.al/blog/understanding-agent-native-data/</guid><description>Traditional databases follow a request-response pattern that leaves agents waiting, ignorant, and inactive. Agent-native systems flip this model.</description><pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate><category>architecture</category><category>agents</category><category>data systems</category></item><item><title>Inferal Workspace Architecture: How We Work</title><link>https://infer.al/blog/workspace-architecture/</link><guid isPermaLink="true">https://infer.al/blog/workspace-architecture/</guid><description>A deep dive into our Git-based workspace that combines knowledge management, multi-repository operations, and AI-native integration through MCP servers.</description><pubDate>Wed, 24 Dec 2025 00:00:00 GMT</pubDate><category>architecture</category><category>workspace</category><category>mcp</category><category>ai-native</category><category>developer-tools</category></item></channel></rss>