Technologies
The stack we actually ship on.
The technology stack behind every Red Bug AI, machine learning and custom software build, chosen for maintainability, not for the pitch deck. If what you run isn't listed, ask. We'd rather say no than learn on your budget.
AI & LLM
Model choice is a decision, not a default. We build LLM applications, RAG pipelines and AI agents per workload and keep the integration swappable, so a better or cheaper model next year is a config change rather than a rebuild.
- OpenAI
- Claude
- Gemini
- LangChain
- LlamaIndex
- pgvector
Frontend
React and Next.js for front-end development because the hiring pool is deep and the rendering model handles both marketing pages and product UI. TypeScript everywhere: an untyped codebase is a maintenance bill you pay later.
- React
- Next.js
- TypeScript
- Tailwind
Backend
Node.js, Python or .NET backend development, depending on what your team already runs. We'd rather fit your existing stack than hand you an API nobody in the building can maintain.
- Node.js
- Python
- .NET
- FastAPI
Data
PostgreSQL by default for database development. It handles relational data, JSON and vector search in one engine, which removes a whole class of infrastructure. MLflow for model tracking on anything with machine learning in it.
- PostgreSQL
- MongoDB
- Redis
- MLflow
Cloud
Whichever cloud platform you're already on. Containerised with Docker so the deployment target stays your decision, not a vendor lock-in.
- Azure
- AWS
- Google Cloud
- Docker
Running something else?
Ask directly rather than assuming we can’t. If it isn’t a fit, we’ll say so on the first call.