We raised $143M to build the control layer for software change.Read more: We raised $143M to build the control layer for software change.
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We raised $143M to build the control layer for software change.Read more: We raised $143M to build the control layer for software change.
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Engineering taste develops through experience, exploring alternatives, and learning from use. How can teams preserve those opportunities in an agentic SDLC?
CodeRabbit’s early GPT-6 Astra evaluation covers cross-file bug detection, customer data protection, public API pricing, and building NIGHTSHIFT.
CodeRabbit is committing more than $10 million of its actual direct cost to open source over the next year through cash sponsorships, free Review and Security, and broader agentic support across the software development lifecycle.
Agents can write, test, and revise code across much of the delivery process. But teams still need a reliable way to decide which changes can move automatically and which require accountable human review.
Engineering taste develops through experience, exploring alternatives, and learning from use. How can teams preserve those opportunities in an agentic SDLC?
CodeRabbit’s early GPT-6 Astra evaluation covers cross-file bug detection, customer data protection, public API pricing, and building NIGHTSHIFT.
Kent C. Dodds explains why product judgment, system understanding, and ownership become more valuable as AI agents take on more implementation work.
Fable 5.1 feels fast on small coding tasks and produces fewer review comments than Fable 5. It also leaves unstated requirements alone, so clear instructions make a large difference.
A conversation with Assistant UI founder Simon Farshid about the hidden work behind AI chat interfaces, product judgment, and his coding-agent loop with CodeRabbit.
CodeRabbit is committing more than $10 million of its actual direct cost to open source over the next year through cash sponsorships, free Review and Security, and broader agentic support across the software development lifecycle.
Install the CodeRabbit plugin for Cursor and run focused code reviews from the same Agent session where you build.
More changes are flowing through pull requests than ever thanks to AI-generated code, but a human still needs to decide what ships.
Dig into insights about our products, use cases, and POVs
