Deepdive: How 10 tech companies choose the next generation of dev tools
Tech businesses from seed-stage startups to publicly-listed companies reveal how they select and roll out next-generation IDEs, CLIs and code review tools. And how they learn which ones work… and whic
TL;DR
- The AI-assisted coding tool market has expanded significantly, with numerous alternatives to GitHub Copilot and ChatGPT emerging.
- Tool selection processes vary by company size: small teams adopt tools informally and quickly based on developer feedback, while larger companies have slower, more structured processes involving security, compliance, and budget reviews.
- Measuring the actual productivity gains from AI coding tools is a major challenge for all companies, with existing metrics often distrusted or found to be inadequate.
- Developer trust and organic adoption are more effective drivers than mandates.
- The migration path from Copilot to tools like Cursor and Claude Code is common.
- Companies like WeTravel and Wealthsimple have developed specific frameworks for evaluating and selecting AI coding tools, though universal measurement solutions remain elusive.