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Why 100% Line Coverage is Lying to You in AI-Generated Code (And How We Catch It)
内容摘要
If you have spent the last few months building projects with AI coding assistants (Antigravity,...
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The Hidden Security Blind Spots in Local AI Workflows
A Japanese version of this is on Note. An increasing number of engineers and creators are running...
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Prompt Engineering Is Dead. Long Live Harness Engineering.
From Prompt to Context to Harness: how three years of AI engineering vocabulary kept renaming the same problem until 40% of agent projects started failing for the same boring reason.
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I Replaced grep-Based Code Review with a Knowledge Graph + MCP. Here Are 3 Bugs Vector Search Missed.
Vector search was finding the wrong files in my AI code review pipeline. Wiring a code knowledge graph through MCP cut review context by 8.3x and surfaced bugs that lived between files.
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Three layers of automated fact-checking for an LLM newsroom (and the bugs that forced each one)
Our site, presentofai.com, publishes AI industry analysis daily with no human in the writing loop:...
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AfterMind: Turning Thoughts Into Stories With AI
AfterMind: Turning Thoughts Into Stories With AI Introduction Sometimes the...
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IA Não é Só Chat: o Mundo de Computer Vision, 3D e IA Multimodal
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Teaching an LLM to pull MCP Resources and Prompts on demand (instead of drowning it in context)
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I stopped typing: a hands-on guide to voice-first client work with Wispr Flow (and an open-source Skills kit)
Three real examples, ten minutes of Wispr Flow settings (MCP included), a one-week task list, and four open-source agent Skills you can install today.
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Multimodal robots learn more efficiently
A vision‑language backbone can significantly reduce robot training data requirements, addressing the...
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Building a Closed-Domain Agentic AI Knowledge Assistant with Hybrid RAG
I recently built an "Agentic AI Knowledge Assistant" that combines "Retrieval-Augmented Generation...
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