Internal Code Assistants.
A code assistant that knows your codebase, not just Python.
Train a coding LLM on your internal repositories, architecture docs, coding standards, and proprietary SDKs. Get an assistant that suggests code following your conventions, understands your domain models, and never leaks trade secrets to external APIs.
The Problem
GitHub Copilot and ChatGPT don't know your internal APIs, your monorepo structure, or your team's conventions. Worse, every code snippet you paste into them is potentially leaving your organization.
How Langtrain Helps
Purpose-built for Engineering & DevTools.
Proprietary Code Stays Private
Fine-tune on your private repos. The model runs in your infrastructure — your IP, your algorithms, and your architecture never leave your VPC.
Knows Your Stack
Train on your internal monorepo, custom SDKs, and architecture decision records. Get suggestions that follow your conventions, not generic patterns.
IDE Integration
Call your fine-tuned model from the Python and Node SDKs or the REST API, from whatever editor and tooling your team already uses.
Compliance-Safe
For teams in fintech, healthcare, or defense where code cannot leave the building. Fine-tune on-premise with full audit logs.
Onboarding Accelerator
New engineers ask the assistant questions about the codebase. It explains design decisions, suggests where to add features, and links to the right files.
Code Review Co-pilot
Integrate into your CI/CD pipeline. Flag potential issues, suggest tests, and enforce coding standards before PRs are merged.
Applications
What teams actually build.
Autocomplete with Private APIs
Fine-tune Starcoder or Codellama on your internal SDK. Get intelligent autocomplete that knows your `@company/core` package, not just npm.
Architecture Q&A
Ingest your ADRs, RFCs, and architecture diagrams. Engineers ask "why did we choose Kafka over RabbitMQ?" and get accurate, sourced answers.
Test Generation
Given a function, generate unit tests following your team's test patterns, fixture conventions, and coverage requirements.
Legacy Code Explanation
Point the assistant at legacy COBOL or undocumented Python. It explains what the code does, documents it, and suggests refactoring paths.