Fragmented - AI Developer Podcast 301 - The AI coding ladder
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Jan 19, 2026 Dive into the fascinating world of AI coding paradigms with insights on super autocomplete tools like GitHub Copilot and the evolution to chat-oriented programming. Discover how agents and innovative prompts enhance coding autonomy, including planning and deeper reasoning techniques. Explore the future of orchestrating multiple agents and the challenges that come with it. Highlights also include practical tips for working with AI, emphasizing the importance of clear communication with your virtual assistants. This discussion is a must for developers looking to stay ahead!
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Super Autocomplete Is Generation 1
- Generation 1 of AI coding is essentially a probabilistic "super autocomplete" that completes entire functions from comments.
- It differs from rule-based IntelliSense by being trained on vast code corpora and producing variable suggestions.
Chat-Centered Editing Changed UX
- Generation 2 centers on chat-oriented programming where an agent in the IDE edits code via natural language.
- This UX made AI coding accessible and launched the "vibe coding" era for many developers.
Copy-Paste Pain Before IDE Agents
- Iury recalls copy-pasting large code blocks between ChatGPT and the editor before Cursor improved the flow.
- Cursor's UX let you apply edits to selections and reduced that tedious back-and-forth.