
Ellipsis envisions a future where AI is seamlessly embedded as an essential collaborator within engineering teams, automating the repetitive and time-consuming tasks of software development to unleash human creativity and innovation.
By harnessing advanced AI and machine learning technologies, Ellipsis is crafting an AI software engineer capable of performing code reviews, bug fixing, and workflow automation, transforming how code is written, reviewed, and deployed at scale.
Ellipsis is dedicated to building a trustworthy AI coworker that empowers developers by increasing velocity and quality, while fostering a more efficient and forward-thinking software development lifecycle across diverse programming languages and environments.
Our Review
What Caught Our Attention
Ellipsis immediately stood out to us because it's not trying to be another ChatGPT for coding. Instead, these folks are building something more practical—an AI that actually participates in your development workflow rather than just answering questions about it. When you can literally tag "@ellipsis-dev fix this unit test" in a GitHub comment and get working, tested code back, you know someone's thinking seriously about developer productivity.
The timing feels right too. While everyone's been talking about AI coding assistants, Ellipsis is tackling the unglamorous but crucial stuff like code reviews and bug fixes that eat up so much developer time.
The Smart Technical Moves
We're impressed by their focus on security and enterprise readiness from day one. Getting SOC 2 Type 1 certification this early shows they understand that cool AI demos don't matter if companies can't trust you with their code. The fact that they don't retain source code after processing is exactly the kind of detail that makes CTOs comfortable.
Their approach to code reviews is particularly clever—catching not just syntax errors but logical bugs, security issues, and style violations. It's like having a senior engineer who never gets tired reviewing every single pull request.
Real-World Impact We Can Measure
Here's what got our attention: they're processing nearly 4,000 commits daily and reducing average time-to-merge by 13%. Those aren't vanity metrics—that's measurable productivity improvement. When hundreds of companies are using your tool for something as critical as code review, you're clearly solving a real problem.
The Y Combinator pedigree and $2M seed round don't hurt either, but the usage numbers tell the real story about product-market fit.
Who Should Care
Ellipsis seems tailor-made for mid-sized engineering teams (25-100 developers) who are feeling the squeeze between shipping fast and maintaining quality. If you're a startup that's grown past the "move fast and break things" phase but can't afford to hire senior engineers for every team, this could be your force multiplier.
We'd be especially interested if we were running a team where code review bottlenecks are slowing down releases, or where junior developers need more guidance but senior folks are spread too thin to provide it consistently.
AI Code Reviews: automatic review of pull requests for bugs, style, security, antipatterns
Automated Bug Fixes: generate tested code fixes via tags
Code Generation: convert instructions into multi-file, library-upgrade-ready code
Developer Q&A and Automation: answer codebase questions, generate release notes, automate standup reports
Workflow Automation: assign reviewers, surface similar PRs, streamline repetitive tasks






