JetBrains vs Perforce Software

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.

Perforce Previews Engineering Intelligence Product P4 Signals

Perforce Software announced a rollout of updates across its flagship version control platform, Perforce P4, including a new engineering intelligence product, P4 Signals, slated for availability next year. P4 Signals is a native, queryable analytics layer designed to help engineering leaders optimize developer efficiency by providing DORA metrics, hierarchical branch analysis, time-to-review, time-to-resolution, and project-level comparisons. The company also announced the availability of Perforce P4 Cloud on the AWS Marketplace and the availability of P4 through Dev Stream Labs, an automated build and CI platform for compiled software and game development. These updates are part of Perforce's broader strategy to address AI governance and measure AI's productivity against engineering standards.

• Perforce Software announced a rollout of updates to its Perforce P4 platform.
• Perforce P4 Signals is a new engineering intelligence product, available next year.
• P4 Signals provides DORA metrics, branch analysis, time-to-review, and time-to-resolution insights.