Introducing CodeBuddy: The Autonomous AI Software Engineer

Mar 26, 2026 - 3 min read - 700 words

Most AI coding tools autocomplete a line and call it a day. We wanted something different — an AI that can take a task description, reason through the problem, write the code, run the tests, fix what breaks, and ship the result. All inside your editor.

Today we’re releasing CodeBuddy as an open-source extension for VS Code, Cursor, Windsurf, VSCodium, and any editor on the VS Code extension API. It’s also on the Open VSX Registry.

The problem

Developers spend significant time on tasks that are repetitive but not trivial — writing boilerplate, debugging stack traces, updating tests after refactors, wiring up API endpoints, writing documentation. Current tools help with fragments, but someone still has to orchestrate the work.

We asked: what if the AI could handle the full lifecycle of a task?

What CodeBuddy does differently

CodeBuddy is a multi-agent system, not a single-model wrapper. When you give it a task, here’s what happens:

The Developer Agent — a createDeepAgent() instance from deepagentsjs — analyzes your request and decides the approach
Specialized subagents handle the work via the Deep Agents task tool — one for code analysis, another for file editing, another for terminal commands
27+ built-in tools extend the Deep Agents file system primitives with IDE-native capabilities — terminal execution, web search, browser automation, debugger integration
Self-healing execution catches failures and retries with corrected approaches — up to 4 layers of recovery

The result: you describe what you want, and CodeBuddy does the rest.

Built on Deep Agents

CodeBuddy is powered by deepagentsjs — LangChain’s batteries-included agent harness. While simple LLM tool-calling loops produce “shallow” agents that fail on complex tasks, Deep Agents implements the patterns proven by applications like Deep Research, Manus, and Claude Code:

TodoListMiddleware — write_todos tool for planning and progress tracking
FilesystemMiddleware — File system tools backed by a composable backend abstraction
SubAgentMiddleware — task tool for spawning context-isolated specialist agents
CompositeBackend — Route file paths to different storage layers (disk, store, state)

CodeBuddy extends this foundation with a custom VscodeFsBackend, IDE-native tools, and MemoryMiddleware + SkillsMiddleware for persistent project context.

Architecture at a glance

graph LR A[Your Task] --> B[Developer Agent] B --> C[Planner] B --> D[Coder] B --> E[Debugger] B --> F[Tester] C & D & E & F --> G[Self-Healing Layer] G --> H[Completed Task]

Key numbers


7 specialized agents	Each optimized for a specific type of work
10 AI providers	OpenAI, Anthropic, Google, Groq, Ollama, LM Studio, and more
27+ built-in tools	File editing, terminal, web search, browser, debugger, MCP
16 integrations	GitHub, Jira, AWS, Datadog, PostgreSQL, Sentry, and more
8 WASM grammars	Tree-sitter AST parsing for JS, TS, Python, Go, Rust, Java, PHP, TSX
5 worker threads	Parallel processing for analysis, embedding, vector search

Privacy and security first

Every line of CodeBuddy runs locally in your editor. There are no cloud servers, no telemetry calls home, no code leaving your machine (unless you configure an external AI provider).

Enterprise teams get:

Access control with allow/deny lists and admin roles
Permission scoping to restrict what the agent can do (restricted / standard / trusted profiles)
Credential proxy — a localhost reverse proxy that injects API keys so they never touch the webview
Prompt injection detection — 15+ pattern detectors with automatic sanitization

Local models, zero latency

If you don’t want your code touching any API, CodeBuddy works fully offline with Ollama and LM Studio. Run DeepSeek Coder, CodeLlama, Qwen, or any GGUF model locally. The inline completion engine supports model-specific FIM (Fill-in-the-Middle) tokens for each provider.

What’s next

We’re actively developing:

More language support for AST analysis
Better context selection with relevance scoring improvements
Richer MCP ecosystem with community-contributed servers
Team collaboration features with shared project rules

Try it now

# VS Code / Cursor / Windsurf
ext install codebuddy.codebuddy

# VSCodium / Open VSX editors
# Install from https://open-vsx.org/

Read the quickstart guide to build your first feature with CodeBuddy in under 5 minutes.

Star us on GitHub if you find it useful. Contributions welcome.