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.”
JetBrains's AI coding assistant is part of this use case:
IDEs and developer tools for software engineers and project teams.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
"Blank page syndrome" delayed projects. Now, Junie automates scaffolding and tests with 100% syntactic correctness.
Code fixes piled up in backlogs for months. Now, an autonomous Claude agent generates, tests, and submits validated pull requests.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
"Blank page syndrome" delayed projects. Now, Junie automates scaffolding and tests with 100% syntactic correctness.
Code fixes piled up in backlogs for months. Now, an autonomous Claude agent generates, tests, and submits validated pull requests.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
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.”
JetBrains's AI coding assistant is part of this use case:
IDEs and developer tools for software engineers and project teams.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
"Blank page syndrome" delayed projects. Now, Junie automates scaffolding and tests with 100% syntactic correctness.
Code fixes piled up in backlogs for months. Now, an autonomous Claude agent generates, tests, and submits validated pull requests.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
"Blank page syndrome" delayed projects. Now, Junie automates scaffolding and tests with 100% syntactic correctness.
Code fixes piled up in backlogs for months. Now, an autonomous Claude agent generates, tests, and submits validated pull requests.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.