How to Effectively Use Mistral API in Your AI Projects (Step by Step)
How to Effectively Use Mistral API in Your AI Projects (Step by Step) We’re building an intelligent document processing application […]
api-design
How to Add Memory To Your Agent with LangGraph (Step by Step)
Adding Memory to Your Agent with LangGraph We’re building an intelligent agent that remembers context — not just your last
LangGraph vs PydanticAI: Which One for Small Teams
LangGraph vs PydanticAI: Which One for Small Teams LangGraph has 27,965 GitHub stars while PydanticAI sits at 15,954. But here’s
Gemini API vs Mistral API: Which One for Enterprise
Gemini API vs Mistral API: Which One for Enterprise When comparing the Gemini API and the Mistral API, it’s crucial
How to Implement Webhooks with Gemini API (Step by Step)
How to Implement Webhooks with Gemini API (Step by Step) We’re building a webhook system using the Gemini API to
Cost Monitoring Checklist: 7 Things Before Going to Production
Cost Monitoring Checklist: 7 Things Before Going to Production I’ve seen 5 production deployments fail this month. All 5 made
7 Conversation Management Mistakes That Cost Real Money
7 Conversation Management Mistakes That Cost Real Money I’ve seen 5 urgent conversation management mistakes this month. All 5 made
Error Handling in Agents Checklist: 10 Things Before Going to Production
Error Handling in Agents Checklist: 10 Things Before Going to Production
I’ve seen 3 production agent deployments fail this month. All 3 made the same 5 mistakes. To avoid being the next statistic, here’s an error handling in agents checklist that you should follow before your deployment.
1. Implement Comprehensive Logging
Why it matters: Good
api-design
My Take on Webhooks: Revolutionizing Agent API Development
Hey everyone, Dana Kim here, back on agntapi.com! Today, I want to talk about something that’s been quietly but fundamentally changing how we build and connect software, especially in the agent API space: webhooks.
For a while now, I’ve been seeing a significant shift from the old “poll-and-pray” model to a more proactive, event-driven architecture.
Kubernetes vs Railway: Which One for Small Teams
Kubernetes vs Railway: Choosing the Right Tool for Small Teams
As of March 2026, Kubernetes boasts over 107,000 GitHub stars while Railway holds around 18,000 stars. Such figures can be misleading, though; star counts don’t directly correlate to usability or effectiveness for small teams.
| Tool | GitHub Stars | Forks | Open Issues | License | Last Release Date | Pricing |
|---|---|---|---|---|---|---|
| Kubernetes | 107,000 | 35,000 | 800 | Apache 2.0 | March 10, 2026 | Free (hosting costs vary) |
| Railway | 18,000 | 1,500 | 200 | MPL
|