AI in Production: Lessons from Serving Millions of Requests at Juspay
Hard-won lessons from serving millions of AI requests at Juspay. Error handling, fallback strategies, cost management, and observability patterns.
Security Best Practices for AI Applications
Essential security patterns for AI applications. Input sanitization, output filtering, API key management, and audit logging.
The Factory + Registry Pattern: How NeuroLink Breaks Circular Dependencies
NeuroLink uses a Factory + Registry pattern with dynamic imports to support 13 AI providers without circular dependencies. Learn the pattern.
Error Handling Patterns for AI Applications
Handle AI errors gracefully. Retries, fallbacks, user feedback, and recovery patterns.
NeuroLink CLI Mastery: 15 Commands Every AI Developer Should Know
Master the 15 essential NeuroLink CLI commands for setup, model discovery, server management, MCP tools, and RAG operations.
Building RAG Applications with NeuroLink SDK
Learn how to build RAG applications using NeuroLink SDK for generation and external vector databases for retrieval.
The Middleware System: Analytics, Guardrails, and Custom Pipelines
Build production-grade AI pipelines with NeuroLink's middleware system. Add analytics tracking, content guardrails, and custom processing to any LLM.
Conversation Memory: Building Stateful AI Applications
Implement conversation memory in AI apps. Session management, context windows, and persistence with NeuroLink SDK.
Build vs Buy: When to Build Your Own AI Abstraction Layer
Should your team build a custom AI abstraction layer or adopt an existing SDK like NeuroLink? A decision framework based on real engineering trade-offs.
LLM Cost Optimization: Practical Strategies to Reduce Your AI Spend
Practical strategies to reduce LLM costs - model selection, prompt optimization, external caching, and batching patterns with NeuroLink.