Zero Token Architecture: Getting the Model Out of the Hot Path
My homelab runs a daily report agent every morning. It pulls from a handful of sources, works out what changed overnight, and leaves a summary waiting before I’ve opened the laptop. I built it …
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Stop Chasing the Best AI Model. Start Defining the Problem Better!
During an agentic coding session, my AI assistant hit an accuracy wall on a classification task and decided to swap models.
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100% Coverage, and the Service Still Failed
The 80% code coverage bar has been the industry’s comfort blanket for over a decade. Teams set it as a CI gate, PRs get blocked if they dip below it, and everyone sleeps a little better knowing …
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All Tests Green. App Still Broken. Until AI Experiences It Like A User
Every test in your suite is green. Every user still sees the issue! 45% of all reported defects are visual - broken layouts, wrapped text, hidden buttons - and your test suite catches exactly zero of …
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Multi-Vector Multimodal RAG - The Upgrade Your RAG Pipelines Need
I was building a document search system when something odd happened. The retrieval scores looked fine - cosine similarities in the 0.85+ range, top-5 results all semantically relevant. But the LLM …
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I Built 2 Multi-Agent Systems - Here's What I Learned About the Architecture
Enterprise adoption of multi-agent AI surged from 23% in 2024 to 72% in 2026. The market is projected to reach $52 billion by 2030. Yet between 41% and 87% of multi-agent LLM systems fail in …
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To Vibe or Not To Vibe
You know the feeling. Late night, fresh idea buzzing, your AI coding companion humming along. You describe a function, sketch a UI, and poof - lines of code bloom onto the screen. Features materialize …
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Tech Debt: From a Technical Jargon to Real-World Impacts
I recently gave a presentation at my company about tech debt - sharing knowledge, techniques, and experiences on how to manage it properly and efficiently. The response convinced me to write this up …
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