Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

🤖 Meet Agent Mode in JetBrains AI Assistant for VS Code! 🔗 Go beyond simple code completion and delegate complex coding tasks to our AI agent that can: ✨ Analyze your entire codebase ✨ Make multi-file edits simultaneously ✨ Handle intricate refactoring operations ✨ Solve complex programming challenges under... show more

JetBrains

213,129 subscribers

15,129 views • 1 year ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

9 Comments

Oleh Vanin1 year ago

JetBrains AI Assistant in VSCode before AI Assistant in JetBrains lineup?.. 🙃

BPSingh1 year ago

human always intelligent :)

JetBrains1 year ago

True story 😎

Carmine Punella1 year ago

@ivanfioravanti another stuff to try… we have still few licenses … even if with @cursor_ai we are already doing really magic stuff!! Sad to see that agent are still not supported on Rider 😫

ig4g1 year ago

What about Go?

Guilherme Delgado1 year ago

Ironically, I'm using the GitHub Copilot plugin in Android Studio because Junie isn't available yet... But then again, since my company already uses GitHub and we have Copilot licenses, I guess Junie won’t really be an option for us anyway.

Big Bruno1 year ago

This agentic coding is good but makes you not type I haven't typed since January. Now I cancelled it just to type makes you lazy.

luotuo95271 year ago

The quota policy was confused， no place to see the usage account for each model

ReadyMS1 year ago

Where is the agent mode in jetbrain Rider?

Related Videos

Over the past couple of years, you’ve heard us reference “agents” and “agentic capabilities,” nebulous concepts that are designed to help you with coding, booking trips, and other complex multi-step tasks. But, what actually IS an agent? We think of AI agents as systems that combine the intelligence of advanced AI models with access to tools so they can take actions on your behalf, under your control. Whether it’s a coding agent or our recently unveiled experimental tool Gemini Agent in the Google Gemini, these are systems that will meet you where you are, in the products that you love, to help take the tedious tasks you want off your plate.

Over the past couple of years, you’ve heard us reference “agents” and “agentic capabilities,” nebulous concepts that are designed to help you with coding, booking trips, and other complex multi-step tasks. But, what actually IS an agent? We think of AI agents as systems that combine the intelligence of advanced AI models with access to tools so they can take actions on your behalf, under your control. Whether it’s a coding agent or our recently unveiled experimental tool Gemini Agent in the Google Gemini, these are systems that will meet you where you are, in the products that you love, to help take the tedious tasks you want off your plate.

Google AI

120,813 views • 8 months ago

🤖 Introducing Taskade's AI Teams with Multi-Agent Collaboration, now in beta! Assemble your team of AI Agents for collaboration, intelligent responses, and dynamic interactions. They plan, execute, and manage tasks—all together! Reply 'AI Teams' for early access! ✨

🤖 Introducing Taskade's AI Teams with Multi-Agent Collaboration, now in beta! Assemble your team of AI Agents for collaboration, intelligent responses, and dynamic interactions. They plan, execute, and manage tasks—all together! Reply 'AI Teams' for early access! ✨

Taskade

29,742 views • 1 year ago

Claude Agent is now available in your JetBrains IDE’s AI chat! ✨ The new agent leverages Anthropic models, including the freshly released Claude 4.5 Sonnet. ✨ No extra plugins. No extra subscriptions. Just advanced AI coding built in. Learn more 👉

Claude Agent is now available in your JetBrains IDE’s AI chat! ✨ The new agent leverages Anthropic models, including the freshly released Claude 4.5 Sonnet. ✨ No extra plugins. No extra subscriptions. Just advanced AI coding built in. Learn more 👉

JetBrains

25,856 views • 9 months ago

Be among the first to try GPT-5 in JetBrains AI Assistant and the coding agent Junie! 👉

Be among the first to try GPT-5 in JetBrains AI Assistant and the coding agent Junie! 👉

JetBrains

372,143 views • 11 months ago

🚀 Multi-AI Agents are now live! Craft your AI team: one agent researches, another executes tasks. They write, summarize, and edit—think of it as your mini-me doubling your productivity! 🤖 What would you build? Reply with your AI Agent idea for a chance to win free SWAG! ✨🐑

🚀 Multi-AI Agents are now live! Craft your AI team: one agent researches, another executes tasks. They write, summarize, and edit—think of it as your mini-me doubling your productivity! 🤖 What would you build? Reply with your AI Agent idea for a chance to win free SWAG! ✨🐑

Taskade

31,831 views • 2 years ago

Google Flow Agent is your creative partner that can plan and reason through complex tasks with your inputs, under your control. In this video, you'll see how you can: ✅ Activate your agent ✅ Brainstorm and refine storylines ✅ Maintain character and setting adherence ✅ Generate and edit multiple assets at once ✅ Organize your assets with the help of your agent

Google Flow Agent is your creative partner that can plan and reason through complex tasks with your inputs, under your control. In this video, you'll see how you can: ✅ Activate your agent ✅ Brainstorm and refine storylines ✅ Maintain character and setting adherence ✅ Generate and edit multiple assets at once ✅ Organize your assets with the help of your agent

Google Flow

31,077 views • 1 month ago

Junie comes to GitHub – async development unlocked! 😎 Meet Junie, the AI coding agent by JetBrains… now on GitHub! ✅ Delegate multiple tasks ✅ Fix bugs without opening an IDE ✅ Collaborate with your team All without leaving GitHub. The waitlist is now open! Join the waitlist!

Junie comes to GitHub – async development unlocked! 😎 Meet Junie, the AI coding agent by JetBrains… now on GitHub! ✅ Delegate multiple tasks ✅ Fix bugs without opening an IDE ✅ Collaborate with your team All without leaving GitHub. The waitlist is now open! Join the waitlist!

JetBrains

484,746 views • 1 year ago

OpenAI Codex is now natively integrated into the AI chat in JetBrains IDEs as one of the coding agent options. Use it with JetBrains AI, your ChatGPT account, or an OpenAI API key.

OpenAI Codex is now natively integrated into the AI chat in JetBrains IDEs as one of the coding agent options. Use it with JetBrains AI, your ChatGPT account, or an OpenAI API key.

JetBrains

176,710 views • 6 months ago

New course: Building Coding Agents with Tool Execution, taught by Tereza Tizkova and Fra from E2B. Most AI agents are limited to predefined function calls. This short course teaches you to build agents that write and execute code to accomplish tasks, accessing entire programming language ecosystems instead of being restricted to a fixed set of tools. You'll learn to run agent-generated code safely in sandboxed cloud environments that protect your systems from harmful operations. Skills you'll gain: - Build agents that write and execute code, manage files, and handle errors autonomously through feedback loops - Run agent code safely in E2B cloud sandboxes and understand tradeoffs between local, containerized, and cloud execution - Create a data analyst agent that explores visualizes data with Pandas - Create a full-stack agent that builds complete Next.js web applications Join and build agents that code their way through complex tasks:

New course: Building Coding Agents with Tool Execution, taught by Tereza Tizkova and Fra from E2B. Most AI agents are limited to predefined function calls. This short course teaches you to build agents that write and execute code to accomplish tasks, accessing entire programming language ecosystems instead of being restricted to a fixed set of tools. You'll learn to run agent-generated code safely in sandboxed cloud environments that protect your systems from harmful operations. Skills you'll gain: - Build agents that write and execute code, manage files, and handle errors autonomously through feedback loops - Run agent code safely in E2B cloud sandboxes and understand tradeoffs between local, containerized, and cloud execution - Create a data analyst agent that explores visualizes data with Pandas - Create a full-stack agent that builds complete Next.js web applications Join and build agents that code their way through complex tasks:

Andrew Ng

203,595 views • 7 months ago

I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.

I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.

Akshay 🚀

30,806 views • 1 year ago

We’re launching a brand new, full-stack vibe coding experience in Google AI Studio, made possible by integrations with the Google Antigravity coding agent and Firebase backends. This unlocks: — Full-stack multiplayer experiences: Create complex, multiplayer apps with fully-featured UIs and backends directly within AI Studio — Connection to real-world services: Build applications that connect to live data sources, databases, or payment processors and the Antigravity agent will securely store your API credentials for you — A smarter agent that works even when you don't: By maintaining a deeper understanding of your project structure and chat history, the agent can execute multi-step code edits from simpler prompts. It also remembers where you left off and completes your tasks while you’re away, so you can seamlessly resume your builds from anywhere — Configuration of database connections and authentication flows: Add Firebase integration to provision Cloud Firestore for databases and Firebase authentication for secure sign-in This demo displays what can be built in the new vibe coding experience in AI Studio. Geoseeker is a full-stack application that manages real-time multiplayer states, compass-based logic, and an external API integration with Google Maps 🕹️

Google AI

4,743,927 views • 4 months ago

We built MiniMax a CLI coding agent like Claude Code, powered by MiniMax M3. It can: → Read files → Write code → Run shell commands autonomously → Understand large codebases with long-context reasoning → Handle real multi-file engineering tasks → Work entirely inside your terminal And it's fully hackable. Swap prompts. Add tools. Customize workflows. Make it your own. No GUI. Just code. Built for developers who live in the terminal.

We built MiniMax a CLI coding agent like Claude Code, powered by MiniMax M3. It can: → Read files → Write code → Run shell commands autonomously → Understand large codebases with long-context reasoning → Handle real multi-file engineering tasks → Work entirely inside your terminal And it's fully hackable. Swap prompts. Add tools. Customize workflows. Make it your own. No GUI. Just code. Built for developers who live in the terminal.

Darshal Jaitwar

18,861 views • 1 month ago

Anthropic is rolling out Dispatch, a major new update for Claude Cowork that turns your mobile phone into a remote control for your desktop AI agent. Currently in research preview, this feature allows you to assign complex, multi-step tasks to Claude while you are away from your keyboard, and it will execute them using your computer's local resources.

Anthropic is rolling out Dispatch, a major new update for Claude Cowork that turns your mobile phone into a remote control for your desktop AI agent. Currently in research preview, this feature allows you to assign complex, multi-step tasks to Claude while you are away from your keyboard, and it will execute them using your computer's local resources.

Wes Roth

13,251 views • 4 months ago

Announcing Agent Composer: AI that works when it actually IS rocket science. Technical teams can now automate the routine (but complex) tasks that used to take hours every week—root cause analysis, production planning, test code generation— and reduce them down to minutes, so you can get your real work done. Here's how we solved the AI context problem for hard engineering tasks (like rocket science 🚀) 🧵

Announcing Agent Composer: AI that works when it actually IS rocket science. Technical teams can now automate the routine (but complex) tasks that used to take hours every week—root cause analysis, production planning, test code generation— and reduce them down to minutes, so you can get your real work done. Here's how we solved the AI context problem for hard engineering tasks (like rocket science 🚀) 🧵

Contextual AI

1,552,408 views • 5 months ago

OpenAI Operator looks great here is a open source version of it you can use now see an agent that uses your browser to perform tasks for you developers get started in a few lines of code pip install 'ai-gradio[browser]' import gradio as gr import ai_gradio gr.load( name='browser:gpt-4o', src=ai_gradio.registry, title='AI Browser Agent', description='Agent that helps with web tasks' ).launch()

OpenAI Operator looks great here is a open source version of it you can use now see an agent that uses your browser to perform tasks for you developers get started in a few lines of code pip install 'ai-gradio[browser]' import gradio as gr import ai_gradio gr.load( name='browser:gpt-4o', src=ai_gradio.registry, title='AI Browser Agent', description='Agent that helps with web tasks' ).launch()

AK

98,797 views • 1 year ago

Before software engineers even begin writing code, they have to set the stage of the entire development process. This process requires engineers to make complex tradeoffs between requirements, system design, and implementations details. Current IDEs that rely on AI features, like chat and inline coding, can help engineers get the job done quickly on small development tasks. Still, engineers spend much more time on larger projects—even after the initial code is generated—by conducting rigorous testing and creating documentation. This is where today’s AI IDEs can do more to accelerate the development lifecycle—and this is why we built Kiro. Kiro is an AI IDE that helps you go from prototype to production with spec-driven development and agent hooks. From simple to complex tasks, Kiro works alongside you to turn prompts into detailed specs, then into working code, docs, and test so what you build is exactly what you want and ready to share with your team. After a developer builds the code with Kiro, Kiro’s agent hooks help engineers solve challenging problems and automate tasks like generating documentation and unit tests. Kiro brings structure and mature engineering practices to AI coding, so you can go from concept to application while being in the driver’s seat every step of the way. Kiro is free during preview, and supports Mac, Windows, and Linux, and most popular programming languages. We're excited for you to try it out and let us know what you think ➡️

Before software engineers even begin writing code, they have to set the stage of the entire development process. This process requires engineers to make complex tradeoffs between requirements, system design, and implementations details. Current IDEs that rely on AI features, like chat and inline coding, can help engineers get the job done quickly on small development tasks. Still, engineers spend much more time on larger projects—even after the initial code is generated—by conducting rigorous testing and creating documentation. This is where today’s AI IDEs can do more to accelerate the development lifecycle—and this is why we built Kiro. Kiro is an AI IDE that helps you go from prototype to production with spec-driven development and agent hooks. From simple to complex tasks, Kiro works alongside you to turn prompts into detailed specs, then into working code, docs, and test so what you build is exactly what you want and ready to share with your team. After a developer builds the code with Kiro, Kiro’s agent hooks help engineers solve challenging problems and automate tasks like generating documentation and unit tests. Kiro brings structure and mature engineering practices to AI coding, so you can go from concept to application while being in the driver’s seat every step of the way. Kiro is free during preview, and supports Mac, Windows, and Linux, and most popular programming languages. We're excited for you to try it out and let us know what you think ➡️

Swami Sivasubramanian

154,343 views • 1 year ago

New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @pauleveritt@fosstodon.org. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @[email protected]. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

Andrew Ng

460,540 views • 3 months ago

We ran a little experiment: we added support for your JetBrains AI subscription in the Pi coding agent. Nowhere near production ready, but would you actually use this in your terminal? Btw, Jan-Niklas Wortmann built it with Opus 4.8, now available in JetBrains IDEs.

We ran a little experiment: we added support for your JetBrains AI subscription in the Pi coding agent. Nowhere near production ready, but would you actually use this in your terminal? Btw, Jan-Niklas Wortmann built it with Opus 4.8, now available in JetBrains IDEs.

JetBrains

30,764 views • 1 month ago

World's first tool that gives AI coding agents full production context. Until now, AI could write your code, but it had no idea what was actually happening in production. We built Comie to change that. Connect your production stack once, and now Claude Code, Cursor, Codex, or any AI coding agent can: - inspect logs - analyze production databases - debug backend issues - trace production errors - understand real production behavior All directly inside your existing workflow. It takes 60 seconds to setup. We're giving first 50 requests free for every user:

World's first tool that gives AI coding agents full production context. Until now, AI could write your code, but it had no idea what was actually happening in production. We built Comie to change that. Connect your production stack once, and now Claude Code, Cursor, Codex, or any AI coding agent can: - inspect logs - analyze production databases - debug backend issues - trace production errors - understand real production behavior All directly inside your existing workflow. It takes 60 seconds to setup. We're giving first 50 requests free for every user:

yutish

17,133 views • 2 months ago

8 rules to improve your AI coding agent. All of these rules work with Claude Code, Cursor, VS Code, and with most programming languages. Automating these rules will 10x the code quality and security produced by your AI coding agents. 1. Dependency checks - Prevent your agent from suggesting insecure libraries based on outdated training data. 2. Secret exposure - Auto-fix the use of hardcoded credentials introduced by your coding agent. 3. File and function size - Automatically refactor any files or functions that exceed a reasonable length. 4. Complexity and parameter limits - Simplify overly complex code written by the agent. 5. SQL Injection - Auto-fix all database interactions with unsanitized user input. 6. Unused variables and imports - Detect and remove dead code. 7. Detect invisible unicode characters in AI rules files - Remove zero-width spaces, direction overrides, and other invisible characters that can hide malicious behavior. 8. Insecure OpenAI API usage - Enforce use of secure OpenAI endpoints, proper authentication, and context isolation Here is how you can automate this: Install the Codacy extension. This will give you access to a CLI for local scanning and an MCP server for agent communication. From here on out, every time you need to generate some code: 1. Your agent will write the code 2. It will then call Codacy's CLI to check it 3. It will find any issues in real time 4. Your coding agent will fix the issues 5. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Here is the link to download the extension for your IDE: Thanks to the Codacy team for collaborating with me on this post.

8 rules to improve your AI coding agent. All of these rules work with Claude Code, Cursor, VS Code, and with most programming languages. Automating these rules will 10x the code quality and security produced by your AI coding agents. 1. Dependency checks - Prevent your agent from suggesting insecure libraries based on outdated training data. 2. Secret exposure - Auto-fix the use of hardcoded credentials introduced by your coding agent. 3. File and function size - Automatically refactor any files or functions that exceed a reasonable length. 4. Complexity and parameter limits - Simplify overly complex code written by the agent. 5. SQL Injection - Auto-fix all database interactions with unsanitized user input. 6. Unused variables and imports - Detect and remove dead code. 7. Detect invisible unicode characters in AI rules files - Remove zero-width spaces, direction overrides, and other invisible characters that can hide malicious behavior. 8. Insecure OpenAI API usage - Enforce use of secure OpenAI endpoints, proper authentication, and context isolation Here is how you can automate this: Install the Codacy extension. This will give you access to a CLI for local scanning and an MCP server for agent communication. From here on out, every time you need to generate some code: 1. Your agent will write the code 2. It will then call Codacy's CLI to check it 3. It will find any issues in real time 4. Your coding agent will fix the issues 5. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Here is the link to download the extension for your IDE: Thanks to the Codacy team for collaborating with me on this post.

Santiago

49,331 views • 9 months ago