7 min read
TP-Link Kasa Cameras Leaked Home GPS Coordinates for Six Years
TP-Link Kasa cameras leaked precise home GPS coordinates over unauthenticated UDP for years. How the flaw works, the disclosure timeline, and the second CVE.
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Page 42 of 100
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Deep dives into AI agents, coding tools, and building with LLMs.
1192 articles844 topics
6 min read
AWS Billing Bug Shows Trillion-Dollar Estimates, Causes Developer Panic
AWS billing bug: a unit conversion error in S3 cost estimates sent developers alerts for billions and even trillions of dollars. What caused it and what to do.
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7 min read
Claude Code's Silent 60-Second Timer: A Misfeature Postmortem
How a 60-second auto-continue timer shipped to Claude Code without documentation, what it reveals about agent safety assumptions, and how to disable it.
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7 min read
Frame: An X11 Server Written in Assembly Using AI
Frame is an X11 server in 20,000 lines of assembly, built with Claude as a natural language compiler. It runs Firefox and GIMP on a third of Xorg's idle CPU.
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7 min read
The Human-in-the-Loop Is Tired: Pydantic on AI Dev Burnout
Laura Summers of Pydantic articulates why LLM-assisted programming increases work intensity while eliminating the rewards that made coding satisfying.
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7 min read
Kimi K3 Developer Guide: What the 2.8T Open Model Changes
Kimi K3 developer guide: the 2.8T-parameter model's 1M-token context, native vision, API pricing and open-weights timing, and how it fits coding agents.
6 min read
Kimi K3 Websites: What Vision in the Loop Actually Means
Kimi K3 vision in the loop: how screenshot feedback changes frontend agents, what a Kimi-generated macOS 27 concept site shows, and what screenshots miss.
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6 min read
Kimi K3 vs K2.7 Code: Is the Upgrade Worth It for Coding?
Kimi K3 vs K2.7 Code: 1M vs 256K context, $3/$15 vs $0.95/$4 per million tokens, and when the bigger model earns its price on coding work.
6 min read
LM Studio Bionic: A Local-First AI Agent for Open Models
LM Studio launches Bionic, a standalone agent harness for open models with local inference, voice input, and zero data retention cloud options.
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8 min read
Mozilla's State of Open Source AI Report: The Gap Is 3%, But Deployment Remains the Real Problem
Mozilla's State of Open Source AI report puts open models within 3.3% of closed ones, yet only 51% reach production. The deployment barriers explained.
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8 min read
Spec-Driven Agent Workflows: GitHub Spec Kit, gstack, and the New Handoff Layer
GitHub Spec Kit and gstack are trending for the same reason: coding agents need durable specs, plans, and task ledgers more than another one-shot prompt.
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7 min read
Detecting LLM Text with Classical ML: TF-IDF Still Works
Detecting LLM text with classical ML: how a TF-IDF and linear SVM detector reached about 85% accuracy without neural networks, and the HN false positive debate.
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