The Hidden Bugs Behind ‘Working’ AI-Generated Code

Описание: Wondering whether AI coding assistants like Cursor, Bolt, Claude-Code or Codeium will replace—or empower—software engineers? In this straight-talk episode, 25-year dev veteran Clark Sell shares a cautionary tale of a hobby Svelte project that “worked”… until it didn’t. Discover why mixing old and new frameworks, letting AI pick packages, and skipping fundamentals can leave you with code that’s silently broken. Learn how to wield these tools like a sniper rifle (not a shotgun), speed up routine tasks, and still keep your engineering edge.

🔥 What you’ll hear:
• Real-world story: AI rewrites that looked right but hid subtle bugs
• How outdated framework snippets creep in and trip you up
• Sniper vs. shotgun: a mindset for precision AI prompting
• Why deep knowledge of Svelte (or any stack) still matters
• Guardrails for debugging AI-generated code before shipping
• Balancing faster typing vs. solid architecture decisions
• The future of dev work: pairing human insight with smarter models
• Actionable tips to stay relevant—whether you’re junior or seasoned

Timestamps:
0:00 Welcome & why this convo matters
0:36 The current AI tool landscape (Cursor, Bolt, Claude)
1:22 A real Svelte project gone sideways
2:55 Where AI helped—and where it silently broke things
4:31 How seasoned devs “call BS” on bad suggestions
6:02 Balancing speed, quality & staying relevant
7:18 Key takeaways & next steps

🙌 Join the conversation:
1. Drop a comment—What’s the biggest AI coding “gotcha” you’ve run into?
2. Hit 👍 if you’ve ever felt frustrated debugging code that should work.
3. Subscribe for no-fluff insights on AI, software craftsmanship, and career growth.

#AICoding #SoftwareEngineering #CursorAI #DevTips #Svelte