The MCP ecosystem is expanding — and many remote MCPs now require authentication. We’ve added built-in auth support so your agent can connect directly to these services.
How to Use
Setup is unchanged. If a remote MCP needs auth, you’ll see an Authenticate button and 🟠 status indicator. Click to connect.
Use Cases
Automate setup: Configure connections or environment variables right from your agent.
Speed up debugging: Pull logs from CircleCI, Sentry, or LaunchDarkly without leaving your workflow.
Provision on demand: Create databases, tables, or cloud resources in Snowflake, Supabase, or Datadog.
Integrate SaaS tools into tasks: Let your agent manage monitoring, deployment, or configuration steps end-to-end.
Imagine: you’re debugging a complex API issue with Augment.
Your agent examines logs across services, checks 12 files, tests endpoints, identifies a timing problem between microservices, and suggests fixes to 3 files—all in one turn.
Instead of scrolling through dozens of tool calls, the new Agent Turn Summary distills everything into a simple line—“32 tool calls, 3 files modified”—with expandable details. You see the full scope at a glance, and open the details only when you need them.
Review in seconds, not minutes.
How It Works
At the end of an agent response, you’ll now see a summary with:
A summary and count of tool calls
A quick snapshot of changes made
It appears alongside the feedback footer, so you can review activity right away without scrolling back through the entire turn.
Use Cases
Reviewing long-running GPT-5 loops with 50–100 tool calls
Spotting when an agent run is heavier or lighter than expected
Availability
Available in prerelease for VS Code and JetBrains.
At Augment, we noticed a common challenge: our team frequently needed quick information from the Agent without making any changes to the codebase. Whether asking for clarification on a change or reviewing a plan before implementation, we wanted a way to get answers without accidentally triggering modifications.
Quick Ask Mode is our solution to this exact problem. Get instant answers from the Agent — without making changes to your codebase.
When enabled, Quick Ask Mode restricts your agent to read-only tools, so it can explore and answer questions without modifying files. It keeps your full conversation context while giving you peace of mind and lets you easily switch back to the default Agent mode when you're ready to implement changes.
How It Works
Toggle Quick Ask Mode from the Agent chat input
Available in local agent mode only
Use Cases
Planning: Analyze architecture, dependencies, and patterns to create a tasklist before coding
Code understanding: “Explain how the authentication system works” — safe exploration with no edits
Documentation queries: “What does this function do and where is it used?” — pull info from across the codebase
Onboarding: Let new team members explore safely without risk of accidental changes
Availability
Quick Ask Mode is live for all users in VS Code and JetBrains.
Extended IDE Compatibility: Restored support for IntelliJ IDEA 2024.2, allowing users on older IDE versions to continue using Augment while maintaining compatibility with the latest 2025.x versions.
Remote MCP OAuth Support: Added comprehensive OAuth authentication support for remote Model Context Protocol (MCP) servers, enabling secure connections to external services that require authentication.
Improvements
UI Polish: Various UI improvements including better animation performance, fixed code block copy buttons showing proper "Copy" text, and improved tooltip displays in the history panel.
Extension Status Dialog: The Extension Status dialog now displays the size of the webview state file, providing better visibility into storage usage and helping with troubleshooting.
Technical Improvements
Improved conversation history persistence across sessions
Better integration with the sidecar service for various operations
Augment now supports two models in production — Claude Sonnet 4 (default) and OpenAI GPT-5 — with a new picker that lets you switch between them at any time. This is the first time we’ve exposed model selection directly in the product.
We’ve traditionally avoided surfacing model choice. But Sonnet and GPT-5 now handle different coding scenarios well enough to justify optionality:
Use Sonnet for: fast answers, quick single-file edits, and iterative review loops
Use GPT-5 for: multi-file changes, complex refactors, debugging, and edge-case handling
This lets you choose the right model based on the task at hand — without changing your workflow or context.
We’re also using switching patterns as signal: where users prefer one model over another helps guide future tuning, routing, and defaults.
Since AI-powered coding assistants entered the scene, most have focused on code generation—helping you write a function here, debug a snippet there. But real software goes well beyond your editor: from local debugging to CI/CD pipelines, from GitHub Actions to custom deployment scripts.
Today, we're launching Auggie, an agentic CLI tool designed not just to be the most codebase-aware agent in your terminal, but to integrate into every part of your development workflow.
Augment where you work
Now Augment is available directly from your command-line with a rich terminal interface, Visual Studio Code, and JetBrains IDEs. Whether you prefer command-line workflows or integrated development environments, Augment works where you work.
Automation and integration ready
Auggie works as a unix-style utility, perfect for integration into your existing scripts and automation. Use it for code review in your CI pipeline, automated testing, or as part of your deployment process. Use the built-in `/gitub-workflow` command to quickly generate GitHub Actions for Pull Request descriptions and Pull Request reviews.
# Use it on your command line
auggie "Generate address test data formatted as json" > example.json
# Pipe data into Auggie
git diff | auggie "Explain the impact of these changes"
# Put it in your build system
auggie –print "Check if all new functions have tests"
Deep Codebase Intelligence
Auggie doesn't just see the files you show it—it knows and understands your entire codebase autonomously. Using Augment’s leading context engine, it maps project structure, dependencies, and patterns without manual context selection. Whether you're working on a small personal project or a million-line enterprise codebase? Auggie scales with you.
Getting Started
Auggie is rolling out today to Enterprise customers and will be available to teams and individuals over the next few weeks. We're releasing Auggie in beta, and we're actively gathering feedback from you to improve the experience and see what you can do with it. Tell us how Auggie can help do the things you need so you can focus on the things you love.
npm install -g @augmentcode/auggie
Just can't wait? Join the waitlist to get your hands on it early. If your company or team would like to try Auggie today, get in touch.
Task List Integration: You can now access and manage your development tasks directly within the JetBrains environment, streamlining your workflow by keeping track of to-dos and project items without leaving your IDE
[-_-] Improvements & Fixes
Smoother File Operations: File creation now happens seamlessly in the background, preventing version control dialogs from interrupting your chat flow
Polished Chat Experience: Enjoy cleaner message layouts, better visual spacing, and more intuitive navigation throughout your conversations
Enhanced Performance: Better memory usage, improved sidecar launching, and more reliable background processes contribute to a smoother plugin experience
Chat Interface Enhancements: Fixed chat message edit box width issues and improved text wrapping on feedback panels for better readability
Image Handling: You can now preview images in a modal window, and images are automatically inserted at the end of chat content for consistent formatting
Keyboard Shortcuts: Improved keybinding infrastructure with the Cmd+. shortcut now cleanly toggling between auto and manual modes instead of cycling through all modes
Tool Integration: Fixed missing play buttons for fetch and MCP tools, and improved tool component click behavior and hover styles
Tasklist helps your Agent break down complex problems into clear, actionable steps. You can review the plan, run tasks one by one, and add new ones as you go. It’s a simple way to keep track of progress—without losing context.
Getting Started
Your Agent will suggest a Tasklist when it spots a multi-step problem. You can also kick off a Tasklist yourself. Here’s how:
Click the checklist icon next to Changes
Add tasks with the ➕ button or type directly in the prompt bar
Or just say: “Start a Tasklist to…”
How Tasklist Helps
Break down open-ended problems into manageable steps
Keep context by carrying your Tasklist across chats
Revisit completed tasks or explore alternatives
Stay organized by removing irrelevant steps
Track progress with visual task states (not started, in progress, done)
A Few Things to Know
The Agent can generate and nest subtasks automatically
Run tasks individually—or all at once
Stop and redirect any task mid-run
Switch to Changes view to see what the Agent did
Works with Your Stack
Use Tasklist alongside Jira or Linear to break down tickets, track steps, and post updates. Or use it on its own to stay organized across threads.
Chat History Navigation: Added up/down navigation buttons and keyboard shortcuts (Cmd/Ctrl + ↑/↓) to navigate between conversation messages for improved chat browsing experience
Redesigned History View: Updated History interface with tabbed navigation for better organization
MCP Setup Improvements: Streamlined MCP server configuration by combining remote MCP buttons and expanding MCP install section by default
Developer Experience
MCP Tools: Enabled MCP tools display in settings panel with individual tool visibility and server name mapping
Bug Fixes
Copy Response Fix: Resolved issue where copy response functionality only copied the last chat response block instead of entire history
Guidelines Chip: Fixed disappearing guidelines chip in the user interface
Sound Effects: Corrected sound effects to stop playing when agent conversation is cancelled or user is not in debug features
Augment Rules are instruction files that guide your AI agent's behavior, giving you granular control over how your AI agent behaves and responds to your specific needs. These rules help the agent understand your preferences, coding standards, project requirements, and specific workflows.
Getting Started
Create rules files in the .augment/rules folder in your project directory. You can name these files whatever you'd like and organize them however makes sense for your workflow. For example:
.augment/
└── rules/
├── coding-standards.md
├── project-guidelines.md
└── review-checklist.md
Three Ways to Use Rules
Always - Rules are attached to every query automatically
Manual - You manually select which rules to include for each query
Auto - Describe what the rules does, and the agent will intelligently fetch relevant rules
Key Features
Smart Rule Selection: With Agent Requested mode, simply describe your task and the agent will automatically determine which rules are most relevant to include in the context.
Easy Migration: Already using rules from other tools? We support automatic import from competitors' rules and guidelines folders, making migration seamless.
Multiple Access Points: Find Rules settings in the settings panel or create a .augment/rules folder to get started immediately
Migration Notice
If you're currently using .augment-guidelines.md, don't worry! Your existing setup will continue to work exactly as before. However, we encourage migrating to the new Rules system for enhanced flexibility and organization.
