Show HN: ShadowDiff – Shadow testing and SQL diffing for AI-migrated back ends
Article URL: https://github.com/vishalrajofficial/ShadowDiff Comments URL: https://news.ycombinator.com/item?id=50504643 Points: 1 # Comments: 0
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待评分 · 分类列表推荐Article URL: https://github.com/vishalrajofficial/ShadowDiff Comments URL: https://news.ycombinator.com/item?id=50504643 Points: 1 # Comments: 0
The update introduces a change to the template soft_max_f32_parallelize_cols_single_row to store column elements in registers when feasible, reducing global memory traffic from five passes to two, thereby improving performance on CUDA-enabled systems.
Article URL: https://github.com/winebarrel/hazel Comments URL: https://news.ycombinator.com/item?id=50504187 Points: 1 # Comments: 0
Yes, i really hate "dict[str, ANY]" Comments URL: https://news.ycombinator.com/item?id=50504072 Points: 14 # Comments: 1
Article URL: https://github.com/Tthanh2k6/turbo-browser-mcp Comments URL: https://news.ycombinator.com/item?id=50503930 Points: 8 # Comments: 0
I started learning and writing up this blog in my own words, combining multiple resources until I feel comfortable in my understanding and then writing them down on my own. No AI here (other than help during the learning). This is article 1 of the series.Started understanding the flow of things from wall outlet, I know I skipped the things around how sand turns into a chip, but it would have gotten very long, maybe a story for another time.Looking for some feedback. Comments URL: https://news.ycombinator.com/item?id=50503921 Points: 2 # Comments: 2
Article URL: https://github.com/KrocPDF/KrocPDF Comments URL: https://news.ycombinator.com/item?id=50503891 Points: 3 # Comments: 0
Article URL: https://www.powerqueue.link Comments URL: https://news.ycombinator.com/item?id=50503655 Points: 4 # Comments: 1
Article URL: https://docs.wendy.dev/latest/getting-started/app/ Comments URL: https://news.ycombinator.com/item?id=50502531 Points: 1 # Comments: 0
Most of the alternatives diverged from the true fun of MSPaint that I had as a child. My children also seem to enjoy this. The closest existing project was "Drawing" on Linux, but I felt it couldn't decide if it was a vector or a raster editor, and this confused my kids, and made good fill pours difficult.Features added beyond original Paint: - Draw circles starting from the center. - OKLCH Palette - Visible pixel grid when zoomed in. - Builds on Linux and Windows. - Written in rust. Comments URL: https://news.ycombinator.com/item?id=50501354 Points: 1 # Comments: 0
This is a prompt-injection detector I built using NLP and SMT2. Comments URL: https://news.ycombinator.com/item?id=50501132 Points: 1 # Comments: 0
The qwen2vl model in llama.cpp was producing incorrect results due to NULL values being passed for FFN weight scales, preventing per-tensor NVFP4 scales from being applied. This issue has been resolved by correctly passing the scales to the build_ffn function, consistent with how qwen2 handles them.
Article URL: https://github.com/noambrand/ai-time-estimator Comments URL: https://news.ycombinator.com/item?id=50499487 Points: 2 # Comments: 0
Article URL: https://github.com/fertile-org/coppice Comments URL: https://news.ycombinator.com/item?id=50499320 Points: 2 # Comments: 0
I was tired of losing time on Instagram, so I vibe coded this Android app with Codex. Comments URL: https://news.ycombinator.com/item?id=50498701 Points: 1 # Comments: 0
Article URL: https://github.com/vavkamil/crycut Comments URL: https://news.ycombinator.com/item?id=50498398 Points: 1 # Comments: 0
The future of agents is them taking on open ended goals and driving towards completion of those goals. Learn more.
Article URL: https://claude.com/resources/articles/projects-redesigned Comments URL: https://news.ycombinator.com/item?id=50492141 Points: 65 # Comments: 50
Amazon Bedrock AgentCore runtime V2 snapshots your initialized environment and restores it for each new session, so session start no longer grows with image size. This post explains how V2 starts a session, how to measure session start time, and four patterns to keep work off the first request.
The latest release of llama.cpp (b12362) includes optimizations for grammar matching through left factoring, improved handling of character class boundaries, prevention of infinite expansion, and enhanced code clarity with ASCII comments and deduplicated logic. It reverts prior changes related to AST refactoring and alternative limits, while introducing shared immutable rules and removing performance benchmarks. The release supports multiple platforms including macOS, Linux, Windows, Android, and iOS, with various backend options such as CUDA, Vulkan, ROCm, OpenVINO, and SYCL.
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