CodeRabbit vs JetBrains

AI Coding Spend Soars 16x; PR Velocity Doubles

A new analysis by The Pragmatic Engineer, based on data from 27 companies plus CodeRabbit and Gitar, reveals dramatic increases in AI spending for software engineering. CodeRabbit data shows weekly PRs per developer doubled (113% increase), while Gitar reports AI-native teams shipping 60+ PRs per developer weekly. Spending patterns vary widely: a quant trading firm's AI spend ballooned from $500K to $8M monthly (16x), averaging $1,600 per developer monthly, while a two-person .NET shop spends $3,000 per developer monthly. High spenders like Meta and NVIDIA encourage heavy AI use, while Apple engineers remain cautious. Median spend is around $300-500 per developer monthly, with common spending caps. Notably, despite increased PR counts, several companies report flat or modest velocity gains, with one engineer noting that quality-focused teams see little speed increase. The article highlights challenges in measuring ROI and the shift to models like Claude Opus 5.5.

• CodeRabbit data shows a 113% increase in weekly PRs per developer.
• Gitar reports AI-native teams ship 60+ PRs per developer per week.
• A quant trading firm's AI spend increased 16x from $500K to $8M monthly.

Open-source reviews on CodeRabbit topped 1 million in a single month

See which open-source projects ran the most CodeRabbit reviews in September and how we’re backing maintainers through a commitment of more than $10 million to open source.

CodeRabbit joins the OpenAI Marketplace

OpenAI customers can apply their existing OpenAI spend commitment towards CodeRabbit through the OpenAI Marketplace, simplifying procurement.

A New Agentic Experience: JetBrains Air in IDEs – EAP Now Open

Last week, we shared our point of view on where we think agentic development is headed and introduced JetBrains' answer to it: JetBrains Air, an open system of products for agentic development. To…

How AGI Became a Marketing Department Case

The article discusses how AI, particularly coding agents, is transforming the role of software developers. It highlights that 90% of professional developers use such tools weekly, with 68% daily, and about a third are 'agentic coders' who generate 84% of their code via AI. This shift is changing the developer's role from generalist to specialist, and now to a 'Forward Deployed Engineer' who works closely with clients. The article emphasizes that the real value of developers is shifting from pure coding capacity to understanding business context, identifying problems, and making sound technical decisions. It draws on examples from Google Research and the hiring practices of OpenAI and Anthropic, and suggests that businesses should focus on teams that can quickly build domain context rather than just counting developers.

• 90% of professional developers use coding agents weekly, 68% daily (JetBrains survey).
• One third of developers are 'agentic coders' generating 84% of their code via AI.
• Google Research is investigating whether software agents understand standards and collaborate with developers.

AI Agents Redefine Software Developer Role Toward Context

This opinion piece examines how AI coding agents are reshaping software development, shifting developers' value from implementation to understanding business context and making architectural decisions. JetBrains' survey shows 90% of professional developers use such tools weekly (68% daily), with about a third now 'agentic coders' who let AI generate an average of 84% of their code. This transformation has popularized the 'Forward Deployed Engineer' role at OpenAI and Anthropic, which focuses on client collaboration. The author argues that while AI simplifies coding, experienced developers' true worth lies in contextual understanding, risk identification, and solution validation. The piece advises clients to prioritize contextual insight over mere technical capacity.

• 90% of professional developers use coding agents at least weekly, 68% daily (JetBrains Developer Ecosystem Survey).
• About one-third of developers are 'Agentic Coders', with AI generating 84% of their code on average.
• OpenAI and Anthropic are expanding 'Forward Deployed Engineer' roles, with Anthropic hiring in Munich.