Backend Development

Backend development covers the server side of a product: APIs, databases, authentication and business logic. AI tools help by generating endpoints, writing queries, explaining legacy services and providing the data layer that AI features themselves depend on.

What to look for in Backend Development tools

Prioritise tools that fit your existing stack, handle vector and document data cleanly, and offer predictable pricing and limits once real traffic arrives.

AI tools for Backend Development in the AITL directory

• MongoDB Atlas – developer data platform with native vector search
• Pinecone – storage layer for semantic (vector) data
• OpenRouter – one interface to 300+ language models
• Windsurf AI – AI-native IDE that works alongside the programmer
• Claude – reasoning models for coding and large-scale analysis
• Dumpling AI – one API for scraping, search and social data

Browse the full list on the AI tools page.

Who uses it

This use case matters most to Developers.

Related use cases

• App Development
• DevOps
• Frontend Development
• Building AI-native applications
• Data Extraction