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    <title>Peter Quiel</title>
    <description>Been programming since the 90s. Trained as an electrician at Miele, studied mathematics, 
and have been freelancing as a software developer since 2006 — primarily in Java. 
I'm pragmatic, believe in accountability, and also work part-time as a tradesman.</description>
    <link>https://speakerdeck.com/pedda</link>
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    <lastBuildDate>2025-11-20 06:46:20 -0500</lastBuildDate>
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      <title>From Annoying to Useful: My Journey with AI-Assisted Development in 2025</title>
      <description>&lt;strong&gt;The Journey:&lt;/strong&gt;
From "GitHub Copilot just annoys me" through "Agents hallucinate APIs" to 
"Holy shit, I just completed a 2-week feature in 4 hours." This talk documents 
2 years of trial-and-error with AI coding tools – and the moment everything clicked.

&lt;strong&gt;The Mind-Blowing Result:&lt;/strong&gt;
Portal format integrations that used to take 2-3 days? Now done in 2-4 hours, 
fully tested, production-ready. Multi-file refactorings across 53 Maven modules? 
Completed autonomously with 90% success rate. The "10x developer" isn't a myth – 
it's what happens when you combine 20 years of experience with systematic AI workflows. 
And with the right approach, 20x is within reach.

&lt;strong&gt;What you'll learn:&lt;/strong&gt;
- Why autocomplete ≠ programming (and when it still helps)
- The context death problem and why auto-compaction is poison
- Analyze → Plan → Execute: Multi-phase workflows with review gates
- Skills &gt; MCP: 83% token savings with the right approach
- Recursive instructions: How to teach LLMs to persist
- Real productivity metrics: What 20x actually looks like in practice

&lt;strong&gt;Real-World Application:&lt;/strong&gt;
Portal Export Engine – Engel &amp; Völkers' internal solution for transforming property 
listings and automatically publishing them to 50+ international portals (ImmoScout24, 
Idealista, PropertyFinder, etc.). 264k LOC, 53 Maven modules, 99.9% SLA, processing 
50,000+ properties daily. This is where workflows prove themselves or fail. This is 
where I went from frustrated to mind-blown.

&lt;strong&gt;With live demo&lt;/strong&gt; on real production code: From merge request review 
to feature implementation – watch a multi-day task complete in minutes.

&lt;strong&gt;For:&lt;/strong&gt; Java developers who want to use AI productively without being 
enslaved by their tools. Developers who are tired of AI hype and want 
to see actual, measurable results.</description>
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      <content:encoded>&lt;strong&gt;The Journey:&lt;/strong&gt;
From "GitHub Copilot just annoys me" through "Agents hallucinate APIs" to 
"Holy shit, I just completed a 2-week feature in 4 hours." This talk documents 
2 years of trial-and-error with AI coding tools – and the moment everything clicked.

&lt;strong&gt;The Mind-Blowing Result:&lt;/strong&gt;
Portal format integrations that used to take 2-3 days? Now done in 2-4 hours, 
fully tested, production-ready. Multi-file refactorings across 53 Maven modules? 
Completed autonomously with 90% success rate. The "10x developer" isn't a myth – 
it's what happens when you combine 20 years of experience with systematic AI workflows. 
And with the right approach, 20x is within reach.

&lt;strong&gt;What you'll learn:&lt;/strong&gt;
- Why autocomplete ≠ programming (and when it still helps)
- The context death problem and why auto-compaction is poison
- Analyze → Plan → Execute: Multi-phase workflows with review gates
- Skills &gt; MCP: 83% token savings with the right approach
- Recursive instructions: How to teach LLMs to persist
- Real productivity metrics: What 20x actually looks like in practice

&lt;strong&gt;Real-World Application:&lt;/strong&gt;
Portal Export Engine – Engel &amp; Völkers' internal solution for transforming property 
listings and automatically publishing them to 50+ international portals (ImmoScout24, 
Idealista, PropertyFinder, etc.). 264k LOC, 53 Maven modules, 99.9% SLA, processing 
50,000+ properties daily. This is where workflows prove themselves or fail. This is 
where I went from frustrated to mind-blown.

&lt;strong&gt;With live demo&lt;/strong&gt; on real production code: From merge request review 
to feature implementation – watch a multi-day task complete in minutes.

&lt;strong&gt;For:&lt;/strong&gt; Java developers who want to use AI productively without being 
enslaved by their tools. Developers who are tired of AI hype and want 
to see actual, measurable results.</content:encoded>
      <pubDate>Thu, 20 Nov 2025 00:00:00 -0500</pubDate>
      <link>https://speakerdeck.com/pedda/from-annoying-to-useful-my-journey-with-ai-assisted-development-in-2025</link>
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