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ESP32-Bit-Pirate is an open-source hardware hacking tool based on ESP32, supporting UART, SPI, I2C, 1-Wire protocols with a web CLI for zero-install cross-platform debugging at just a few dollars.

ESP32-Bit-Pirate is an open-source hardware hacking tool based on ESP32, supporting UART, SPI, I2C, 1-Wire and more, with a Web CLI for zero-install cross-platform debugging at just a few dollars.

Google used AI to fix more Chrome vulnerabilities in one month than the previous two years combined. Explore how AI-driven fuzzing and automated patching are reshaping browser security.

Google used AI to fix more Chrome vulnerabilities in one month than the previous two years combined. Explore how AI-driven fuzzing and automated patching are reshaping browser security.

Google used AI to fix 1,072 Chrome vulnerabilities in one month, surpassing two years of fixes. Deep dive into AI-enhanced fuzzing and the security arms race.

Analysis of an LLM-assisted security audit that found 41 vulnerabilities in GlobaLeaks for just $3,140, exploring AI security auditing's cost-effectiveness, methodology, and impact on open-source security.

The 10x AI programming productivity myth debunked. Learn why 2x is the realistic gain from LLM-assisted coding, why generation outpaces verification, and practical tips for developers and teams.

Deep dive into GitHub Copilot's Stacked Sessions and Pull Requests for systematically refactoring legacy code, elevating AI-assisted programming to task-level collaboration.

An economics-driven analysis of refactoring ROI: how technical debt's compound interest slows delivery, how to calculate refactoring returns, and why incremental refactoring beats full rewrites.

An economic analysis of code refactoring ROI: how technical debt's compound interest slows delivery, how to calculate refactoring returns, and why incremental refactoring beats full rewrites.

Through a real game AI navigation case, this article deeply analyzes why more data can worsen imitation learning, covering compounding errors, distribution shift, data quality issues, and DAgger solutions.

Through a real game AI navigation case, we deeply analyze why more data can worsen imitation learning, covering compounding errors, distribution shift, data quality issues, and DAgger solutions.

Prelint prevents product drift in AI-generated code by comparing PRs against ADRs and product docs before merge. A deep dive into how this Product Hunt #1 tool solves context gaps in AI coding.

Prelint prevents product drift in AI-generated code by comparing PRs against ADRs and product docs before merge. A deep dive into this Product Hunt #1 developer tool.

Lottie Creator 2.0 is a browser-based professional vector animation tool with Motion Copilot AI and state machine interactions, exporting production-ready Lottie files without After Effects.

Prefactor is a production-grade monitoring tool for real-time AI Agent evaluation, using real-time scoring, quality drift detection, and performance visualization to solve the core pain point of Agents passing offline tests but failing in production.

Prefactor is a production-grade monitoring tool for real-time AI Agent evaluation, using live scoring, quality drift detection, and performance visualization to solve the core problem of Agents passing offline tests but failing in production.

Robynn AI is a self-learning website operations tool that uses intelligent auditing, natural language editing, and data-driven auto-rollback to solve post-launch decay issues like broken links and ranking drops.

Databox launches Artifacts, a conversational AI analyst that turns live data into polished reports, slides, and interactive documents with one-click sharing and PDF export.

Drifty is an AI-powered Mac time tracker that automatically identifies focus and distraction states without manual timers. Features context awareness, gentle nudges, and local-first privacy.