📰 Dev.to · Xidao
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⚡ AI Lessons

Dev.to · Xidao
3w ago
I Cut My LLM API Bill by 38% With a Caching Layer — Here's the Complete Implementation
A practical, code-heavy tutorial on building a smart caching layer for LLM API calls. Covers exact-match hashing, semantic similarity caching with embeddings, t

Dev.to · Xidao
3w ago
I Tested 6 LLM Models on the Same 50 Production Prompts — Here’s What Actually Varies
A hands-on comparison of GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, DeepSeek V3, Qwen 2.5, and Mistral Large on real production tasks. Measuring latency, cost,

Dev.to · Xidao
1mo ago
The Bottleneck Was Never the Model — It's the Routing Layer
In 2026, LLM code generation solved the coding bottleneck. But production AI apps still fail at provider failover, cost routing, and latency management. Here's

Dev.to · Xidao
1mo ago
What Breaks When You Route to 5 LLM Providers in Production: Lessons from the 2026 Multi-Model Era
GPT-5.5, Claude Mythos, Kimi K2.6, Grok 4.3, Gemma 4 — the 2026 model landscape demands multi-provider routing. Here’s what actually breaks in production.

Dev.to · Xidao
1mo ago
Your AI Agent Is Sending 10x More API Calls Than You Think — Here's Where the Cost Hides
The hidden multiplier nobody budgets for When we moved from single-turn chatbots to...

Dev.to · Xidao
🤖 AI Agents & Automation
⚡ AI Lesson
1mo ago
What Happens When Your API Gateway Needs to Route Across 30+ LLM Models
Two weeks ago, IBM released Granite 4.1, an 8-billion-parameter open model that reportedly matches...

Dev.to · Xidao
🧠 Large Language Models
⚡ AI Lesson
1mo ago
What Actually Breaks When You Add LLM Failover?
What Actually Breaks When You Add LLM Failover? A lot of teams say they want “LLM...
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