Dev Interrupted Is your AI strategy built for speed or stability? | Qodo’s Itamar Friedman
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Jul 22, 2025 
Itamar Friedman, co-founder and CEO of Qodo, discusses the vital differences in AI strategy for startups and large enterprises. He emphasizes the importance of speed for startups and overcoming bottlenecks for larger organizations. Itamar introduces the concept of 'grounded coding' and urges teams to map their processes for AI integration. He also highlights the emerging role of dev platform teams as 'agent keepers' for AI implementation. With actionable insights, he shows how specialized AI tools can address specific challenges in software development.
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Different AI Needs for Startups vs Enterprises
- AI adoption strategies differ greatly between startups and enterprises due to differing priorities and risk tolerance.
- Startups prioritize moving fast, while enterprises focus on untangling bottlenecks and minimizing costly errors.
Define Your Team's Velocity
- Define what velocity means for your team by identifying the direction and measurable outcomes relevant to you.
- Focus on metrics that matter most, such as feature release speed, bug rates, or downtime tolerance based on your industry.
Measure AI Impact Precisely
- Measure AI impact with specific metrics like time to close pull requests and number of critical bugs introduced.
- Track what percentage of work is bug fixes versus new features to assess quality alongside speed.