Code Copilot Agent

Amplify your development team's velocity. We build code assistants on your terms—from simple copilots powered by local models to full agents that learn and fine-tune over time. Multi-model and multi-modal by design, with Pinecone + LangChain memory and enterprise deployment options. Your standards, your security, your stack.

Build on your terms

Start small with a local copilot or go all-in with a learning agent—same single API, deploy anywhere

Local Copilot

Runs on-device or air-gapped (Transformers.js, WebLLM, local backends)
IDE-first: VS Code or your editor via a single API
No vendor lock-in; swap engines as needed

Hybrid / Cloud Copilot

Multi-model pool (Copilot, OpenAI, Anthropic, HF, Together, WebLLM)
Security-aware routing per org policy and data sensitivity
Optional local retrieval with org-controlled indexes

Full Learning Agent

Embeddings in Pinecone + orchestration with LangChain/LangGraph
Creates specialized models (reviews, docs, components, tests)
Fine-tuning and persistent learnings across model swaps

Deployment modes: on-demand IDE extension, API, or always-on background service (cloud, on-prem, bare metal, air-gapped, or hybrid).

Interactive Demo

Experience coding assistance trained on your company standards

Select Model:

Deployment:

What powers it

Embeddings in Pinecone plus LangChain/LangGraph orchestration form the memory and tool-use layer. Real usage (PRs, code changes, reviews) flows into embeddings, which then drive specialized model creation for reviews, docs, components, and tests. The agent routes across foundation models per task and security policy, handling multi-modal inputs (code, docs, images, logs) and keeping your learnings persistent while models swap.

Deployment is flexible: use the single API/IDE extension on-demand or run it as an always-on background service. Pinecone adds dense/sparse vector search, hybrid search, and metadata filtering with namespaces for multitenancy; LangChain/LangGraph provides agent loops, tools, and query analysis for smarter retrieval and routing.

We build on your terms

From simple local copilots to full agents that learn and fine-tune over time—multi-model, multi-modal, Pinecone + LangChain, and deployable anywhere.

Discuss Your Assistant

Technical Architecture

Bespoke AI Code Assistant Architecture

Fine-tuning with Pinecone + LangChain, multi-model/multi-modal routing, and enterprise-grade deployment

Bespoke AI Code Assistant Architecture
┌─────────────────┐
│ Deployment      │ ◄───────────────────┐
│ Options:        │                     │
│ • VS Code Ext   │                     │
│ • Cloud Hosted  │                     │
│ • Bare Metal    │                     │
│ • Air-Gapped    │                     │
│ • Self-Hosted   │                     │
│ • Hybrid        │                     │
└─────────────────┘                     │
                                        │
                            ┌──────────────────┐                      ┌─────────────────┐
                            │    Your Code     │──►  A2A & MCP  ────► │ External Agents │
                            │    Agent(s)      │     Tools, APIs      | Subscriptions,  |
                            │                  │ ◄─────────────────── | Assistants, etc.|
                            │                  │                      └─────────────────┘
                            └──────────────────┘
                                      │  |───────────────────────────────────                          
                                      │                Model Selector        │
                                      │                                      |                                  
┌─────────────────┐  Learning   ┌──────────────────┐                      ┌─────────────────────┐
│ PR Approvals    │ ──────────► │ Embeddings       │                      │ Model Pool          |
│ Code Changes    │             │ Knowledge Store  │                      │ ├─ Microsoft Copilot|
│ Real Usage      │ ────────────┼  i.e. (Pinecone +│                      │ ├─ OpenAI/GPTx      |
└─────────────────┘             │  LangChain)      │                      │ ├─ Anthropic/Claude |
                                └────────┬─────────┘                      │ ├─ HuggingFace      |
┌─────────────────┐   Creates            │                                │ ├─ Custom Models    |
│ Specialized     │ ◄────────────────────┤                                │ ├─ Transformers.js  |
│ Model Creation  │─────────────────────────────────────────────────────► │ └─ WebLLM/Local     |
│ • Review Model  │                                                       └─────────────────────┘
│ • Doc Model     │
│ • Component     │
│ • Testing       │
└─────────────────┘

Fine-tuning Pipeline

Persistent Model Swapping

Multi-modal Learning

VS Code/IDE Extensions

No Vendor Lock-in

Security-First Deployment

A2A & MCP Integration

Specialized Model Creation

Bespoke Training & Deployment

• Fine-tuning pipeline: Learns YOUR coding patterns and standards

• Pinecone vector memory: Embeds code, docs, and PR context for persistent learning

• LangChain orchestration: Tools, agents, routing; multi-modal inputs supported

• No vendor lock-in: Train locally, deploy anywhere, swap engines freely

• Specialized model creation: Build models for reviews, docs, components

• Security-aware routing: Meets org policies; air-gapped, on-prem, or hybrid

• Foundation model agnostic: Upgrade engines, keep customizations

• On-demand or always-on: IDE extension, API, or background service

Ready for your own enterprise Code Copilot?

Deploy a custom-trained coding agent in your IDE with MCP integration, A2A coordination, and Generative UI capabilities - all while keeping your code private and secure.

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