IDE Agents
Complete features, fix bugs, and ship code in VS Code and JetBrains. Powered by Augment's Context Engine, agents reason across your entire codebase to deliver production-ready changes.
Add JWT refresh token rotation to the auth flow
I'll implement JWT refresh token rotation. Let me analyze the auth code.
Found it. Adding token rotation with automatic invalidation.
THEY SHIP PRODUCTION CODE WITH AUGMENT
How it works
Describe what you want in natural language. Agent breaks it down into steps, implements each one, and keeps you in control the whole time.
Agent analyzes your request against your codebase and creates an actionable plan. Review it before any code changes.
Watch Agent create, edit, and delete files. Run terminal commands. Call external tools. Every action is visible and reversible.
Checkpoints save your work at every step. Accept changes, revert to any point, or redirect the agent mid-task.
Checkpoint 4
Added refresh token rotation
3 files changed, 47 insertions
Capabilities
Most AI coding tools dive straight into implementation. They start writing code, and you discover halfway through they misunderstood the scope.
Augment plans first. Ask it to “implement OAuth refresh token flow” and the Tasklist maps the full sequence before touching code: analyze current auth, create token handler, update middleware, add rotation logic, write tests. Add steps when scope grows. Skip what's not relevant. Come back tomorrow and pick up exactly where you left off.
Fig. 1
Task planning interface in Augment
AI tools that store context automatically sound helpful until you realize you have no idea what they've saved. Outdated patterns persist. You're debugging why the Agent keeps suggesting a library you stopped using months ago.
Augment surfaces every memory before it's saved. A project goal, a debugging decision, a pattern you corrected. Approve, edit, or discard. Nothing gets stored without your sign-off. Promote the good stuff to workspace Rules and share it with your team.
Fig. 2
Use TAB to navigate through the list, and save, reject or edit memories as you see fit.
User roles follow RBAC pattern: Admin, Manager, Member. Always check permissions via hasPermission() helper, never raw role strings.
Tenant isolation is enforced at the database layer. All user queries must include organizationId from the auth context.
Memory review interface in Augment
Writing detailed prompts is tedious. Spelling out every file path, naming convention, and edge case takes longer than just doing the work yourself.
Type “fix the login bug” and let Augment expand it. The prompt enhancer pulls in your auth implementation paths, your error handling patterns, your test conventions. Review the enhanced prompt before sending, edit if something's off, or just hit enter and let it run.
Fig. 3
Prompt enhancement with codebase context
Context Engine
Most agents see a few files at a time. Augment's Context Engine indexes your entire codebase in real time, including commit history, cross-repo dependencies, and architectural patterns.
Real-time semantic aggregation — code, dependencies, and history flow through the Context Engine to make the agent smarter and faster.
Why changes were made, not just what changed
How your team actually builds, not generic best practices
Docs, tickets, and design decisions via native integrations and MCP
Edge cases and team conventions discovered through deep codebase analysis
Execute multiple tools simultaneously for 2x faster turns. Agent automatically parallelizes file reads, searches, and API calls instead of running them sequentially. Complex tasks that touch dozens of files complete in seconds, not minutes.
Let Agent work independently. It plans, implements, and iterates without pausing for approval. File edits, terminal commands, and integration calls all execute automatically. Review everything when it's done, or interrupt anytime to redirect.
Read-only mode for exploration. Ask questions about your codebase, trace dependencies, or understand unfamiliar code without any file modifications. Agent searches and analyzes but never writes. Safe for production repos and shared environments.
How does auth work in this codebase?
Authentication uses JWT tokens stored in httpOnly cookies. The flow starts in...
Run commands directly in your terminal. npm install, dev servers, test suites, git operations. Agent sees the output and reacts to errors. Build fails? It reads the logs and fixes the issue without you copy-pasting anything.
Every change creates a snapshot. Roll back to any step without git archaeology. Agent keeps working while you review, and you can rewind to any point if something goes wrong. Undo with one click, not git reflog.
Switch between Claude, GPT, and other frontier models based on the task. Some excel at reasoning, others at speed. Pick the right tool for the job without changing your workflow or leaving Augment.
Work across multiple repositories seamlessly with coordinated changes. Agent understands cross-repo dependencies and keeps related changes in sync. Refactor a shared library and update all downstream consumers in one session.
Drop in screenshots, mockups, or Figma files. Agent interprets visual context and translates designs into code. Paste an error dialog and ask for a fix. Share a wireframe and get a working component.
Agent pulls in documentation, Stack Overflow, and API references in real time. No stale training data. Always current, always cited. Ask about a library you've never used and get answers from the latest docs.
Define coding standards and conventions that Agent follows consistently. Preferred libraries, naming patterns, architectural decisions. Store them in your repo so the whole team gets the same behavior.
GitHub, Linear, Jira, Confluence, Notion, Sentry, Stripe. One-click OAuth setup, no MCP config required. Pull in an issue, implement the fix, open a PR, and update the ticket without leaving your editor.
Connect to 100+ tools in your stack through the Model Context Protocol. Databases, cloud providers, internal APIs. Community servers or build your own. Agent calls them like native tools.
Use Cases
Point Agent at a Linear or Jira ticket. It reads the requirements, explores the codebase, and starts implementation.
Paste an error. Agent traces the issue through your code and proposes a fix that actually fits your architecture.
Generate unit tests that follow your testing patterns, use your mocking conventions, and cover the right edge cases.
Move functions between files, rename modules, update API signatures. Agent handles the ripple effects.
Create READMEs, API docs, and inline comments that reflect what the code actually does.
Agent updates package versions, fixes breaking changes, and runs your test suite to verify.
Ask Agent to explain how a feature works end-to-end. It traces the request flow, maps dependencies, and explains the architecture in context of your specific codebase.
Point Agent at a conflicted branch. It understands both sides of the change, resolves conflicts intelligently, and preserves the intent of each commit.
Track down slow endpoints, N+1 queries, and memory leaks. Agent profiles the code path, identifies bottlenecks, and implements fixes with before/after benchmarks.
IDE Support
Native extensions for VS Code and JetBrains IDEs. Same agent, same features, same Context Engine.
Get Started
Install Augment to get started. Works with codebases of any size, from side projects to enterprise monorepos.