AppMap for Visual Studio Code
Runtime‑aware AI starts here
AppMap Navie for Visual Studio Code brings the power of real-time execution data and AI-driven
insights right to your code editor. No more guessing what your code does under the hood. Navie
watches your application run and uses that live context to provide smarter suggestions, faster
debugging, and runtime-aware code reviews.
Key Benefits
Smarter AI assistance
Navie combines static analysis with live AppMap traces, so you can ask things like "What just
happened?" and get answers based on the actual runtime flow, HTTP calls, SQL queries, exceptions,
I/O, and more.
Faster debugging & fewer defects
Pinpoint performance bottlenecks and logic errors through automatically generated sequence diagrams,
flame graphs, dependency maps, and trace views.
Context‑aware code reviews
From security checks to maintainability recommendations, Navie’s @review mode analyzes your
current branch changes against your base branch with runtime insights.
Zero fine‑tuning required
Works out-of-the-box with enterprise‑ready LLMs—simply plug in your API key or let Navie default to
GitHub Copilot or AppMap’s built‑in endpoint.
What AppMap Does
Captures real‑time snapshots of code execution, data flow, and behavior with zero effort and no
code changes.
Feeds runtime context to AI assistants like Navie, GitHub Copilot, Anthropic Claude, Google
Gemini, OpenAI, and your own local LLMs.
Delivers deep code explanations, diagrams, implementation plans, tests, and patch-ready code
snippets, all grounded in what your application just did.
Get started
Install
the AppMap extension from
within the code editor or from the marketplace.
Sign in with an email address, or with GitHub or GitLab and Navie will be available in
@explain mode. This enables Navie to respond to general coding and development questions and
answer questions about using AppMap data.
Ask Navie for guidance recording AppMap data specific to interactions or code scenarios
you're interested in analyzing.
Chat Modes
Navie provides different modes of interaction for an efficient workflow and optimized results from
AI-assisted coding.
@explain (default): Navie makes context-aware suggestions, provides specific solutions, and
reasons about the larger context of the specific code being worked on.
@plan: Navie focuses the AI response on building a detailed implementation plan for the
relevant query. This will focus Navie on only understanding the problem and the application to
generate a step-by-step plan.
@generate: Activate code generation mode by beginning any question with the prefix
"@generate". In this mode Navie's response are optimized to include code snippets you can use
directly in the files are working on.
@test: Navie's responses are optimized for test case creation, such as unit testing or
integration testing. This prefix will understand how your tests are currently written and provide
updated tests based on features or code that is provided.
@diagram: Navie will create and render a Mermaid compatible diagram within the Navie chat
window. You can open this diagram in the Mermaid Live Editor, copy the
Mermaid Definitions to your clipboard, save to disk, or expand a full window view.
@search: By leveraging smart search capabilities, this command will locate specific code
elements, relevant modules, or examples.
@review: This command will review the code changes on your current branch and provide
actionable insights on various aspects of code, ensuring alignment with best practices in areas
such as code quality, security, and maintainability.
@help: Activate help mode by beginning any question with the prefix "@help". This mode
offers assistance with using AppMap, including guidance for generating and leveraging AppMap data
effectively.
Pinned Context
Pin specific data files to your conversation with Navie to include data sources you know are
relevant to the issue. This includes pinning the text of the issue itself, and Navie responses.
Making AppMap Data
You can improve the quality and accuracy of Navie AI by
making AppMap Data for your project.
Documentation
Navie is an open-source extension built with enterprise needs in mind, delivering a flexible LLM
backend that allows organizations to fine-tune their AI solutions at scale. With advanced features
like customizable token limits, robust automation tools, and seamless integration with existing
workflows.
For detailed information visit our documentation.
Licensing and Security
Open source MIT license |
Terms and conditions
To learn more about security of AppMap, or the use of data with AI when using Navie, see the AppMap
security disclosure for more detailed information and discussion.
There is no fee for personal use of AppMap for graphing and limited
Navie use. Pricing for premium features and integrations are listed on
AppMap’s Pricing Page.
