<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>One Eleven Technology · Blog</title><description>Notes from the workshop: plain-spoken thinking on software, process and knowing what&apos;s actually worth building.</description><link>https://oneeleven.tech/</link><item><title>GTA V in an Afternoon?</title><link>https://oneeleven.tech/gta-v-in-an-afternoon/</link><guid isPermaLink="true">https://oneeleven.tech/gta-v-in-an-afternoon/</guid><description>Can an AI model generate GTA V in an afternoon? Claude Fable, GPT-5.6 Sol and DeepSeek take the same prompt, with surprisingly playable results.</description><pubDate>Sat, 18 Jul 2026 00:00:00 GMT</pubDate><category>ai-tools</category><category>vibe-coding</category></item><item><title>Code is the medium. Value is the point.</title><link>https://oneeleven.tech/code-is-the-medium/</link><guid isPermaLink="true">https://oneeleven.tech/code-is-the-medium/</guid><description>A sprint review that quietly changed how I work — and why good engineering still needs a good explanation.</description><pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate><category>perspective</category><category>engineering</category><category>consulting</category></item><item><title>AI Engineering: Idea to Product</title><link>https://oneeleven.tech/ai-engineering-idea-to-product/</link><guid isPermaLink="true">https://oneeleven.tech/ai-engineering-idea-to-product/</guid><description>A lightweight development process that starts with an idea and ends with a tested, deployed product, with AI doing the work and humans deciding.</description><pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate><category>ai-tools</category><category>delivery</category><category>engineering</category><category>llm</category></item><item><title>Production Ready AI Playbook</title><link>https://oneeleven.tech/real-world-llm-systems/</link><guid isPermaLink="true">https://oneeleven.tech/real-world-llm-systems/</guid><description>A production AI system is mostly not AI. The architecture checklist: data governance, POPIA, GDPR, guardrails, and LLM observability.</description><pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate><category>data-governance</category><category>vibe-coding</category></item><item><title>What I Learned Using AI to Write a Production Feature Spec</title><link>https://oneeleven.tech/what-i-learned-using-ai-to-write-a-production-feature-spec/</link><guid isPermaLink="true">https://oneeleven.tech/what-i-learned-using-ai-to-write-a-production-feature-spec/</guid><description>Lessons from speccing a POPIA-constrained document pipeline with AI: two-session structure, adversarial reviews, and reading the code first.</description><pubDate>Thu, 23 Apr 2026 00:00:00 GMT</pubDate><category>business-analysis</category><category>llm</category></item><item><title>The AI &quot;Disruptive Genius&quot;</title><link>https://oneeleven.tech/the-ai-disruptive-genius/</link><guid isPermaLink="true">https://oneeleven.tech/the-ai-disruptive-genius/</guid><description>AI agents are geniuses with no memory. How spec-driven, test-first guardrails stop your coding agent from wrecking your codebase.</description><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><category>llm</category><category>vibe-coding</category></item></channel></rss>