llama.cpp in 2026: 10 Things After 1 Year of Use
After one year with llama.cpp: it’s great for quick prototypes, not so much for serious production work. I’ve been using […]
Software Architecture
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
Zilliz Checklist: 7 Things Small Teams Must Do Before Production Launch
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
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)
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
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 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 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
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.
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Gemini API in 2026: 7 Things After 1 Year of Use
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