Speed of iteration mattered a lot while building RepoLens. Vercel made it easy to ship frontend changes quickly, preview updates, and keep improving the product experience as the dashboard, pull request intelligence, and repository chat features evolved.
What mattered most was the ability to layer strong language generation on top of grounded repository context. RepoLens does not rely on generic AI output alone, so I needed a provider that worked well for structured prompts, summarization, chat, and trustworthy product experiences. OpenAI was a strong fit for building grounded repository chat, engineering summaries, and documentation workflows on top of analyzed code data.
RepoLens is built around repository intelligence, pull requests, branches, and code change workflows, so GitHub was the most natural fit. It gave me the strongest ecosystem, the best developer familiarity, reliable repository and pull request APIs, and webhook support for automating sync and analysis. That made it much easier to build a product that fits real engineering workflows instead of a disconnected analysis tool.