Session brief
The Code AI Maturity Model and What It Means For You: Ado Kukic
Overview
This talk introduces a Code AI Maturity Model, conceptualized as six distinct levels across three categories: human-initiated, AI-initiated, and AI-led code development. This model aims to categorize the evolving capabilities of AI in software development, drawing parallels to the SAE levels of vehicle autonomy to illustrate increasing AI involvement and independence. The core thesis is that AI's role in coding is progressing from simple assistance to full autonomy in the software development lifecycle.
Who should watch
- AI Engineers exploring the current and future state of AI in coding.
- Product Managers seeking to understand how AI will impact software development timelines and processes.
- Builders and developers interested in the practical applications and progression of AI coding assistants.
- Anyone curious about the increasing autonomy of AI in software creation.
Key takeaways
- Currently, 92% of developers use code AI tools, a significant increase from 1% a year ago.
- A prediction suggests that within five years, 99% of code may be written by AI.
- The Code AI Maturity Model includes six levels:
- * Level 0: Manual coding with no AI assistance.
- * Level 1: AI generates single lines or blocks of code based on developer intent.
- * Level 2: AI has a superior understanding of the codebase context for better suggestions.
- * Level 3: AI builds full components and integrations based on high-level requirements.
- * Level 4: AI proactively handles coding tasks like submitting PRs for documentation or bug fixes without oversight.
Notable quotes
*Today 92% of developers are using Code AI tools whereas this number was just 1% a year ago.*
*In 5 years 99% of code will be written by AI.*
*The AI coding assistant has complete autonomy to take code from concept to production.*
Unofficial community note. Prefer the recording for nuance.