<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompt-Engineering on Hitesh Pattanayak</title><link>/tags/prompt-engineering/</link><description>Recent content in Prompt-Engineering on Hitesh Pattanayak</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 29 Aug 2026 18:00:00 -0700</lastBuildDate><atom:link href="/tags/prompt-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>End-to-End Deployment and Live PR Generation (divvy-forge Part 4)</title><link>/posts/divvy-forge-end-to-end-deployment-and-pr-generation/</link><pubDate>Sat, 29 Aug 2026 18:00:00 -0700</pubDate><guid>/posts/divvy-forge-end-to-end-deployment-and-pr-generation/</guid><description>The final part of the divvy-forge series: wiring TrueForge deployment, discovering the real agent manifest API through trial and error, fixing coordinator prompt flow so subagents run silently, and watching the agent open a real GitHub PR with coordinator reasoning, a unified diff, and subagent findings.</description></item><item><title>Coordinator Prompt Design and Eval-Driven Verification (divvy-forge Part 3)</title><link>/posts/divvy-forge-coordinator-prompt-design-and-evals/</link><pubDate>Thu, 27 Aug 2026 00:00:00 +0000</pubDate><guid>/posts/divvy-forge-coordinator-prompt-design-and-evals/</guid><description>How I designed the coordinator and subagent prompts for divvy-forge as versioned markdown files, embedded subagent instructions inline, defined strict output contracts, and used promptfoo evals to catch three real prompt bugs before a single live agent run.</description></item><item><title>AI Prompting Techniques: System Prompts, Few-Shot, CoT, and Structured Output</title><link>/posts/ai-prompting-techniques-system-prompts-few-shot-cot-and-structured-output/</link><pubDate>Sun, 22 Mar 2026 12:32:36 -0700</pubDate><guid>/posts/ai-prompting-techniques-system-prompts-few-shot-cot-and-structured-output/</guid><description>A practical engineering guide to four core LLM prompting techniques—system prompts, few-shot examples, chain-of-thought reasoning, and structured output—covering real failure modes and production-ready patterns.</description></item></channel></rss>