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The 4 Patterns of AI Native Development — AI Engineer Summit Edition

talks 2 min read

A framework of four patterns that describe how AI is fundamentally transforming the developer role beyond simple code completion. As AI technology has progressed from basic LLM prompts through RAG, function calling (MCP), and into agentic workflows, we are moving from “sprinkling AI on top” toward a genuinely AI-native way of working — one that reshapes the tasks developers perform day to day.

1. From Producer to Manager

Developers increasingly review and supervise AI-generated code rather than writing it themselves. The cognitive load of code review is rising fast, and new approaches are emerging to manage it — summary-style diffs, diagram-based change visualization, and the concept of a “moldable development environment” that adapts its interface to the review at hand. Auto-commit workflows, agent checkpoints, cost management for long-running agents, and setting constraints on what AI can and cannot touch all become part of the daily toolkit.

2. From Implementation to Intent

The shift toward specification-driven development. Rather than typing code, developers define what they want through markdown specification files, task-oriented plans, and even fully specification-centric tools where the code itself becomes secondary to the requirements.

3. From Delivery to Discovery

Rapid prototyping tools like Lovable and Bolt enable developers — and even customers — to quickly explore ideas, generate multiple design variations, and iterate on product concepts before committing to implementation.

4. From Data to Knowledge

Capturing the lessons, decisions, and institutional memory that emerge during development. AI can help preserve feature histories, onboarding context, and incident learnings as durable knowledge rather than letting them dissipate across tickets and Slack threads.


Together, these four patterns show that AI-native development pushes developers toward the work that senior engineers have always done — managing, specifying, discovering, and curating knowledge — rather than merely accelerating typing speed.

Watch on YouTube — available on the jedi4ever channel

This summary was generated using AI based on the auto-generated transcript.

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