Integrations and APIs
Integration between services and APIs in practice: HTTP, webhooks, limits, authorization, retros and stable operation of external dependencies.
How to get AI to connect the API correctly the first time
AI often connects APIs “at will”: without error processing, with keys in the code and without considering limits – and everything breaks down in the market
MCP in AI Development: Secure Tool Connection
Practical analysis of how to connect MCP tools to AI agents without leaks, unnecessary rights and chaos in access: roles, proxy, audit and working checklist.
AI Integration Contract Tests: How to Stabilize APIs
Step-by-step analysis of contract tests for AI integrations: how to fix API expectations, catch regressions before production and reduce the cost of errors.
Idempotence of AI integrations: how to remove duplicates and losses
A practical guide to idempotence in AI integrations: how to eliminate duplicate operations, protect payments and stabilize piplins in retrogrades.