runs an early-stage investment fund that focuses on Y Combinator startups. A lifelong programmer who's been coding since he was "yea tall," Ben built most of his fund's internal technology stack.

In his day to day, he switches between different roles rapidly, going from coding to investor meetings and founder pitches. Before Codebuff, each new software feature would often take at least an afternoon to implement, with more complex one requiring several days.

Enter Codebuff

Codebuff helped Ben reduce implementation time down to minutes, not hours.

In 10 minutes, Codebuff will get me most of the way there... It's like having an extension of your brain.

Better yet, Codebuff enables him take on more ambitious projects. He now has more time to iterate and build larger projects.

For example, Ben needed to build a system to generate tear sheets for their portfolio companies. Previously, he said that he might have pushed it off or cobbled together a manual workaround - a classic "I'll build it properly later" that never happens. Instead, he just described what he wanted to Codebuff, and within minutes it had scaffolded out the PDF generation, API integrations, and data models. He still had to tweak things here and there, but Codebuff had done the heavy lifting.

Codebuff didn't just spit out generic code – it matched their patterns, formatting, even their quirky architectural decisions. It was like having a really sharp junior dev who perfectly gets your coding style.

For someone who's been coding forever but can't dedicate solid blocks of time to it anymore, this tool is a game-changer. Codebuff isn't about replacing developers – it's about making experienced devs more effective.

is building , a platform to help European companies streamline their grant application process. He faced a familiar challenge: maintaining development velocity while ensuring code quality.

Initial Attempts

At first, Oliver various other tools: GitHub Copilot, Cursor, and others. Oliver had asked all tools to do the following: implement a complete feature, including the endpoint and supporting code. Most tools responded with boilerplate that ignored his project's specific needs or, worse, produced entirely irrelevant code. Refactors thus took him a lot of time and effort, taking time away from other tasks.

The Right Solution

But something clicked when Oliver tried Codebuff. Not only did Codebuff understood his codebase structure but it also respected his established patterns and libraries. The knowledge.md file he made contains details about the codebase and helps Codebuff make better code edits. Even when Codebuff wasn't perfect, he only had to do minor fixes—usually just adding a missing import or tweaking the structure slightly.

Oliver now spends less time on routine coding tasks and more on strategic planning with Codebuff's help. When another developer joined the team, Oliver introduced them to Codebuff, confident in its ability to maintain consistent coding standards across the project.

Finding the right AI coding assistant wasn't just about automating tasks—it was about finding a tool that could truly understand and adapt to a project's needs. Codebuff helps Oliver focus on the important stuff and handle the rest. In the fast-paced world of startup development, that kind of reliability proves invaluable.