How to Put a Hard Spending Limit on AI Agents: Token Budgets, Tool Budgets, and Kill Switches
AI agents are fundamentally different from ordinary chatbot requests. A normal API request might look like: An agent can look […]
Build Long-Term Memory for AI Agents with Redis, Vector Search, and Context Compaction
Large language models do not naturally remember yesterday’s conversation. Every model request begins with the context your application sends with […]
MCP vs. A2A in Practice: Build a Multi-Agent System Where MCP Handles Tools and A2A Handles Agent Communication
MCP and A2A are often discussed as if developers need to choose one. You usually do not. They solve different […]
Build a Secure MCP Gateway for AI Agents: Authentication, Tool Permissions, Approval Gates, and Audit Logs
Connecting an AI agent to a database is easy. Giving the same agent permission to: is a completely different engineering […]
Building a Local AI Copilot with Ollama, DeepSeek-Coder, and Open WebUI
Cloud AI coding assistants are convenient. But there are situations where sending source code to an external AI service is […]
Enterprise iPaaS vs. Open Source Automation: Zapier and Make vs. n8n Self-Hosted
Business automation often starts innocently. Someone creates: Then another team adds: A few months later the organization has hundreds of […]
LLM Observability Platforms: Langfuse vs. Arize Phoenix vs. Weights & Biases Weave
A normal API can be healthy while an AI application is completely wrong. The server may return: while the model: […]
AI Developer Environments: Cursor vs. GitHub Copilot Workspace vs. Claude Code
The AI coding-tool conversation has changed dramatically. A few years ago, the main question was: Which tool gives me the […]
Managed Vector Databases vs. PostgreSQL pgvector: Pinecone, Qdrant, and Neon Compared
Choosing a vector database used to sound like a specialized infrastructure decision. Today, almost every SaaS product adding AI eventually […]
Structured Logging and Monitoring: How to Debug Production Services in Cloud Environments
A production incident rarely begins with a useful message such as: The database pool became saturated at 14:07 because three […]