The latest updates on all JetBrains products and topics
AI is accelerating coding, but without the right checks, it can also introduce risk, inconsistency, and hidden issues into your codebase. Businesses are offering “total automation” and “AI-driven checks” while consumers lose control of code quality and security. In this livestream, we’ll sh…
A firsthand look at how one developer moved from occasional AI use to an agent-first workflow with Air.
It's safe to say March was defined by one thing: Java 26. In this issue of Java Annotated Monthly, we've curated a rich selection of articles to help you get the full picture of the release. Marit van Dijk joins us as the featured guest author, bringing her expertise to help you navigate the changes…
Which AI tools are actually used for development at work, not just for pet projects? This post answers that question, drawing on insights from a series of surveys on AI coding tools awareness, adoption, and satisfaction.
Agent Skills is a new initiative that solves both problems by managing context progressively and extending AI agent capabilities on demand.
GoLand 2026.1 helps you keep your Go code modern and your workflow efficient. This release introduces guided syntax updates for Go 1.26, making it easier to adopt new language improvements across your entire codebase. It also expands AI capabilities with support for additional agents, and brings sev…
Discover Carlos Orozco’s journey into tech – and why professional tools matter from day one.
Download Air – free for macOS. Windows and Linux versions coming soon. We hold a principled optimism for agentic software development – and a pragmatic one. After 26 years of building developer tools, we have a clear view of what needs to be built and a strong conviction that agents will fundamen…
A lot is happening in tech and beyond, and as we step into March, we have pulled together a fresh batch of articles, thought pieces, and videos to help you learn, connect, and see things from new angles.
RubyMine's Rails Toolset shows how to design LLM-friendly MCP tools, covering pagination, filtering, overcoming context limit, and AI assistant constraints.
Meaningful AI performance measurement is not about bigger numbers or more dashboards. It is about connecting operational signals with business truth.
Learn how to build AI agents with LangChain in 2026 – from chatbots and document Q&A to tools, guardrails, testing, and debugging in PyCharm.
