A new trend called 'loop engineering' is gaining traction in the software development community, where engineers design autonomous loops that allow coding agents to execute tasks without human interve…
CodeRabbit launched an Overview page for pull requests that consolidates AI summaries, mergeability status, and ranked blockers into a single screen, aiming to reduce code review time and bugs by 50%.…
CodeRabbit CEO Brandon Gubitosa argues that the industry's focus on AI code generation speed has created a dangerous review bottleneck, with AI now writing up to 30% of code at Microsoft and Google. T…
Loop engineering, a new trend in software development, allows engineers to design autonomous coding agents that operate without human intervention, freeing them from manual prompting. The concept, pop…
Ayush Sridhar, a junior developer, turned a CalHacks hackathon project into a software engineering internship at CodeRabbit. His project, merj, an AI-powered merge conflict resolver, won CodeRabbit's …
CodeRabbit CEO Brandon Gubitosa argues that the real bottleneck in code review is understanding code, not reviewing it, as AI-generated code increases volume and complexity. He claims AI-written pull …
GitHub announced a new feature allowing open source maintainers to cap the number of concurrent pull requests from users without write access, addressing a surge in AI-generated contributions that ove…
SpaceX agreed to acquire AI coding startup Cursor for $60 billion in stock on June 16, 2026, raising concerns about using the same AI stack for both code generation and review. Industry data shows a 1…
Token prices have fallen 98% since late 2022, yet enterprise AI bills have tripled, with Uber exhausting its 2026 AI coding budget by April. Gartner predicts 40% of enterprises using consumption-price…
AI agents are moving beyond capability concerns to trust bottlenecks, with Anthropic reporting over 80% of code merged at the company now written by Claude. As agentic output outpaces human review, ex…
At CodeRabbit's app.js conference booth, developers played a speed code review game where bugs were missed under time pressure. Conversations revealed many rely on pre-installed review bots or coding …
CodeRabbit launched Automatic Repository Linking, a feature that automatically detects and links related repositories across an organization using code-level signals such as import graphs and dependen…
New research from Northeastern University and Czech Technical University finds that interacting with generative AI systems can alter how people communicate with each other, a phenomenon called 'cognit…
CodeRabbit Review, an AI-powered code review tool, reorganizes pull request diffs into guided, dependency-ordered walkthroughs called cohorts, addressing the problem of reviewers rubber-stamping large…
Anthropic's Fable 5 model has been suspended for all users following a U.S. government directive, but early tests show it excels at autonomous coding tasks with vague prompts, though it is expensive a…
CodeRabbit launched Plan, a new workflow for its Slack agent that generates codebase-aware implementation plans from engineering requests within Slack threads, aiming to reduce rework and speed up dev…
CodeRabbit launched a Custom Roles API for Enterprise customers, enabling programmatic creation, configuration, and assignment of user roles via REST endpoints. The API automates access management, al…
NVIDIA released Nemotron 3 Ultra, a 550-billion-parameter open coding model with 55 billion active parameters per token, designed for fast, agentic developer workflows. The model achieves over 300 out…
CodeRabbit announced support for NVIDIA Nemotron 3 Ultra in its self-hosted AI code review platform, enabling 2x faster response times for junior-tier reviews while maintaining token efficiency. The i…
CodeRabbit VP of AI David Loker argues that building an internal AI code review tool costs far more than engineering teams anticipate, with annualized expenses ranging from $650,000 to $2 million for …