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IDE Integration

Use mittwald's GDPR-compliant AI models directly in your development environment for code generation, completion, refactoring, and debugging. All models are hosted in Germany without storing user data or using it for training.

Available Models​

The service offers several AI models optimized for different development tasks. For a complete list of available models and their specifications, see the AI models documentation.

Recommended models:

  • Qwen3.5-122B-A10B-FP8: the default choice for coding — strongest tool calling, 245,760-token context
  • Qwen3.8-27B-NVFP4: faster than the 122B model, 256,000-token context
  • Qwen3.6-35B-A3B-FP8: fastest of the three, 256,000-token context, good for completion and quick edits
  • gpt-oss-120b: reasoning-heavy work, 131,072-token context
  • Ministral-3-14B-Instruct-2512: small and fast, 262,144-token context, for lightweight assistants

Supported IDEs and Tools​

IDE/ToolIntegrations
Jetbrains IDEs (IntelliJ, PHPStorm, ...)JetBrains AI, Continue
Visual Studio CodeContinue, Cline, Kilo Code
CursorCline
WindsurfCline
ZedZed

Running an agent in the terminal instead of an editor? See CLI Agents for Hermes Agent, Pi and opencode.

Quick Start​

  1. Get your AI Hosting API key: See Gaining access
  2. Choose your IDE: Select from the integrations above
  3. Configure endpoint: https://llm.aihosting.mittwald.de/v1
  4. Select model: Qwen3.5-122B-A10B-FP8

Best Practices​

Model Selection​

  • Qwen3.5-122B-A10B-FP8: start here for agentic coding, refactoring and tool use
  • Qwen3.8-27B-NVFP4: want faster replies than the 122B model, at a small quality cost
  • Qwen3.6-35B-A3B-FP8: inline completion and quick edits, where latency matters more than depth
  • gpt-oss-120b: complex reasoning, precise documentation, advanced automations
  • Ministral-3-14B-Instruct-2512: lightweight assistants and simple chat

Long-Context Tips​

  • Avoid sending entire repositories; retrieve relevant files/function bodies only
  • Summarize prior steps and include IDs/anchors to rehydrate context on demand
  • Stream responses; raise max_tokens only when necessary
  • Prefer deterministic sampling for tools and edits: temperature <= 0.2
  • Limit repo scope; request specific files/functions to keep context efficient
  • Prefer JSON/tool outputs when orchestrating multi-step changes

MCP Server Integration​

Many IDEs support Model Context Protocol (MCP) servers for enhanced capabilities:

  • Context7: Up-to-date library documentation
  • Brave Search: Web search with privacy
  • Directus: Headless CMS management
  • OpenSearch: Search, index inspection, mappings, and cluster diagnostics
  • TYPO3: TYPO3 CMS content and backend automation through MCP
  • mittwald: Infrastructure management through natural language

For a broader ecosystem list, see the MCP Server Registry.

See individual IDE guides for MCP configuration details.

Next Steps​

Choose your IDE or tool to get started:

Disclaimer​

Third‑party tools, MCP servers and external links are provided for convenience without endorsement or warranty. Use them at your own risk, review licenses and privacy policies, and scope access conservatively (least privilege). Avoid sending sensitive data to external services unless required and permitted.