HTML All The Things - Web Development, AI, and Developer Careers
HTML All The Things is a podcast for web developers navigating the modern tech industry.Hosted by web development agency owners Matt Lawrence and Mike Karan, the show explores web development, AI-driven industry shifts, and the realities of building a sustainable career in…
- Indexed episodes, last 90 days
- 23
- Latest publication
- Sep 19, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 4, 2026
Latest episodes
Is AI Coding Making Technical Debt Worse? (opens the original)
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Is AI coding making technical debt worse, or could it help us clean it up? Matt and Mike discuss how pressure to ship faster can lead to messy codebases, debate whether clean code still matters when AI can navigate the chaos, and explore why developers need time to tackle the mess.
My Favorite Developer and Productivity Apps Right Now (opens the original)
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Mike shares the developer and productivity apps that have actually earned a place in his daily workflow. From AI browsers and agent-focused IDEs to macOS utilities, Docker alternatives, and a minimalist Android launcher, these are the tools making his work faster and easier right now.
I Let AI Help Plan My Vacation... Here’s How It Went (opens the original)
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Matt used ChatGPT and Gemini to help plan a recent UK vacation, from sightseeing and transportation to organizing a packed itinerary. We discuss what AI got right, what it got very wrong, and why AI works best as a travel companion rather than your only source of information.
Don't Just Vibe Code, Learn While You Code (opens the original)
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AI can write your code, but should it replace learning how to code? Matt and Mike discuss how to use AI coding agents as tutors, learn from the code they generate, and balance traditional programming knowledge with the new skills developers need in an AI-first world.
Does AGI Actually Matter to You? (opens the original)
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GPT-6 Astra is reigniting the debate around artificial general intelligence (AGI). We discuss what AGI actually means, whether AI benchmarks are moving the goalposts, and why real-world usefulness may matter more than reaching an arbitrary milestone.
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