As we navigate through the current AI revolution in software development, one thing is glaringly apparent: Both the infrastructure and application layers are experiencing a surge in demand. AI and other trends are dramatically increasing the amount of code being developed, meaning there is more code than ever that needs to be reviewed and verified before it’s put into production.

That’s catching the attention of huge tech players like GitHub, AWS, Google and OpenAI, as well as startups who see a huge opportunity here. We see promise in this emerging space, which is why we’re excited to announce our investment in Baz*, the company that helps engineers and AI agents to build better code. Here’s some context on our outlook, and more thoughts about the market opportunity.

The tech stack is being re-written

A cycle of errors amplifies tech debts

Educating the masses

Implementing human oversight

Each inefficiency uncovered by AI generates opportunities for more tools. As AI coding becomes integral to production systems, new areas are emerging as critical components in every developer’s toolkit. The software giants are racing to lead the charge, proving that the future lies in the tools that make AI coding smarter, faster, and more reliable. This is a clear signal to the market: A migration is happening, and developer adaptation is coming.

Enter Baz

Baz’s two founders, Guy Eisenkot and Nimrod Kor, are both veterans of Bridgecrew*, a previous Battery investment where I was also a co-founder. There, along with co-founder Idan Tendler and Guy Eisenkot, we created a popular open-source tool for IaC Checkov. Now, Guy and Nimrod have decided to embark on a new journey to cater to the people we were always obsessed with making happy and more productive: developers.

Baz is handling the source control management gaps: Developers encounter constant friction with concepts like rebasing, merging, and conflict resolution—tasks that should be straightforward, but instead often lead to hours of lost productivity. These frustrations stem from a fundamental limitation: Today’s version-control systems treat code as static text rather than as dynamic, interconnected systems.

Baz is starting with code review, a critical bottleneck for teams, to lay the foundation for something far greater. By combining code and application behaviors, Baz evaluates how code changes impact running services, endpoints and APIs. This first step not only addresses the immediate inefficiencies in reviewing and merging code but also paves the way for a transformative vision: a coding system that truly understands code AST (abstract syntax trees, which are special data structures used in coding).

The promise, I feel, is enormous. By evolving version control to incorporate code comprehension, Baz can eliminate the guesswork and friction that slow developers today. Imagine a system that doesn’t just flag conflicts but explains their root cause, predicts downstream issues, and offers inline code edits.

The beginning: Enhancing the code-review interface

AI code generation positively impacts delivery pace but might also create fatigue in the review process due to trust issues with generated code. Baz is improving review velocity, release speed, and production uptime by reordering the review process using the order code function relationship, instead of doing it alphabetically. With Baz, code changes are correlated back to runtime metrics, and every change is automatically reviewed by its AI to analyze potential breaking changes, enforce coding standards, and improve code testing coverage.

Want to improve your review experience? Give it a try: https://baz.co/

The post The Code Generation Explosion and What It Means for Code Reviews: Our investment in Baz appeared first on Battery Ventures.

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