Standalone tools forced context switching. Now, the Claude Agent SDK powers a native multi-agent ecosystem directly inside the IDE.
A global provider of software development tools trusted by over 15 million developers for platforms like IntelliJ IDEA and PyCharm.
Diverse development tasks often require different AI capabilities, creating demand for an open ecosystem rather than a single-model solution. Relying...
“Claude Code has earned broad recognition among professional developers. We’re excited to build off Anthropic’s Agent SDK to power our Claude Agent, and to make this natively available to our developers. Developers can now use the power of Claude’s agentic capabilities, the same ones that make Claude Code so effective, to accomplish high-value tasks directly inside Jetbrains. This brings the power of JetBrains and Claude to the next level together.”
IDEs and developer tools for software engineers and project teams.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
JetBrains's AI coding assistant is part of this use case:
Related implementations across industries and use cases
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Deciphering legacy systems bottlenecked senior reviewers. Now, early-career devs use Claude to navigate code, freeing seniors to build.
A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Deciphering legacy systems bottlenecked senior reviewers. Now, early-career devs use Claude to navigate code, freeing seniors to build.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Standalone tools forced context switching. Now, the Claude Agent SDK powers a native multi-agent ecosystem directly inside the IDE.
A global provider of software development tools trusted by over 15 million developers for platforms like IntelliJ IDEA and PyCharm.
Diverse development tasks often require different AI capabilities, creating demand for an open ecosystem rather than a single-model solution. Relying...
“Claude Code has earned broad recognition among professional developers. We’re excited to build off Anthropic’s Agent SDK to power our Claude Agent, and to make this natively available to our developers. Developers can now use the power of Claude’s agentic capabilities, the same ones that make Claude Code so effective, to accomplish high-value tasks directly inside Jetbrains. This brings the power of JetBrains and Claude to the next level together.”
IDEs and developer tools for software engineers and project teams.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
JetBrains's AI coding assistant is part of this use case:
Related implementations across industries and use cases
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Deciphering legacy systems bottlenecked senior reviewers. Now, early-career devs use Claude to navigate code, freeing seniors to build.
A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Deciphering legacy systems bottlenecked senior reviewers. Now, early-career devs use Claude to navigate code, freeing seniors to build.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.