Why Token Maxing is Failing Enterprise Startups | Legora CTO
Summary
Token optimization is a false efficiency metric—the real bottleneck for enterprise startups is no longer code writing but product design and code review. Legora's CTO reveals that with AI tooling (Cursor, Claude), individual engineer productivity has skyrocketed, forcing teams to shift focus upstream to PMs and review processes to maintain velocity gains.
Key Takeaways
- Code writing is now the cheapest phase of development; product work and code review are the new bottlenecks. Teams should allocate resources toward PM efficiency and AI-assisted review rather than optimizing token spend.
- Invest heavily in developer AI tooling despite token costs—opportunity cost of not shipping faster in competitive markets far outweighs tool expenses. Legora grew to $100M ARR in 18 months partly through maximizing engineer productivity.
- Use mixed tooling strategies (Cursor + Claude Code + Vim) rather than standardizing on one IDE. Different team members optimize for different workflows; flexibility drives better overall productivity than uniformity.
- AI code review is still early but essential—implement it today as a partial solution to the review bottleneck. Security and quality reviews can be automated alongside human review to unlock velocity.
- Organizational structure must evolve with AI tooling. Since individual output per engineer increases dramatically, traditional team sizing and hierarchy assumptions become outdated—iterate on org design as aggressively as product.
Related topics
Transcript Excerpt
What percent of developer salary would you be willing to spend on AI tooling for them? >> I don't want to say infinite, but for me it's a question of opportunity cost. We're in a competitive environment. There's so many things that we can do and the cost of not doing it is extremely high. This almost outweighs any sort of token cost. >> Now, I'm so excited to welcome Jacob Lorettson, CTO at Lagora to the show today. The fastest growing enterprise company in history. They hit 100 million in ARR in just 18 months. Jacob is one of the best product minds I've had on the show. Specifically from the last crop of product leaders in this AI generation. >> Honestly, just work harder than the 800lb gorilla. People underestimate this. Like the 800lb gorilla, no one in the 800 lb gorilla is extremely …
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