Continue vs Aider: Which is Better for Automated Code Help?
Opening Continue has 12,314 GitHub stars, Aider sits at a modest 3,872. But stars don’t build meaningful workflows or debug […]
\n\n\n\n
Opening Continue has 12,314 GitHub stars, Aider sits at a modest 3,872. But stars don’t build meaningful workflows or debug […]
Zilliz Checklist: 7 Things Small Teams Must Do Before Production Launch I’ve seen 4 production agent deployments fail this month.
5 Production Deployment Mistakes That Cost Real Money I’ve seen 3 production agent deployments fail this month. All 3 made
Best vLLM Alternatives in 2026 (Tested) After 6 months with various vLLM alternatives, the findings are clear: most just can’t
Response Streaming Checklist: 15 Things Before Going to Production I’ve seen 3 production agent deployments fail this month. All 3
Weights & Biases vs MLflow: Which One for Side Projects Weights & Biases has over 3,200 GitHub stars while MLflow
FastAPI vs Elysia: Which One for Production? FastAPI once commanded an impressive 96,565 stars on GitHub, while Elysia is trying
5 Agent Orchestration Mistakes That Cost Real Money
I’ve seen 3 production agent deployments fail this month. All 3 made the same 5 mistakes. These agent orchestration mistakes can drain your resources and lead to significant financial losses. If you’re serious about maximizing the potential of your agents, you need to avoid these pitfalls.
1.
After 1 Year of Use: The Gemini API in 2026
After one year of use in my production environment, the Gemini API has proven itself to be a mixed bag—useful for small projects but a headache for scaling larger systems. If you’re keen to know what makes this API tick, read on and brace yourself
After 6 months with LangGraph in production: it’s good for rapid prototyping, painful for scaling to enterprise.
I’m no stranger to adapting to new platforms as a developer, but let me tell you, LangGraph has been quite the ride for the last half a year. Launched by the GitHub user langchain-ai, this tool aims