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across code hosts, ticket trackers, and collaboration platforms. That includes workflows for code review, incident response, feedback triage, and large engineering projects across GitHub, GitLab, Slack, Microsoft Teams, Jira, and other surfaces. As our feature set and customer base expanded, feedback volume surged. Success had created a new bottleneck: the faster we shipped, the more time we spent supporting what we had already built. Reports arrive in a Slack feedback channel dedicated to our t

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nductive bias. In the pseudocode below, Conv2D has been aliased as ConvHex2D for illustrative purposes. To learn more about hexagonal convolutions, see the TensorFlow fork https://github.com/jglombitza/hexaconv of the HexaConv library https://github.com/ehoogeboom/hexaconv. Employing the hexagonal convolutions, the spatial model uses a densely-connected block inspired by DenseNet, where each layer's output is concatenated with all previous feature maps. This promotes feature reuse, preserving th

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okens with YaRN. For more technical details on the architecture, training methodology, and experimental analysis of Qwen3.8-Flash-Next, please refer to the technical report in our GitHub repository. Qwen3.8-Flash-Next weights are now available on Hugging Face and ModelScope . The production version, with 1M context by default and official built-in tools, is served as Qwen3.8-Flash on QwenCloud , priced at 0.15 USD per million input tokens and 0.47 USD per million output tokens . Performance Lang

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ome much more attentive to security fundamentals: least privilege (regarding network access, credentials, available features, etc.), logging, and active monitoring. Further, we can limit the time agents have to operate and ensure a pristine environment for each use. X LinkedIn GitHub Mastodon Hacker News Related Posts 1Password's AI patching benchmark is misleading September 15, 2026 1Password’s benchmark misrepresents AI patching. We share real-world data on human and agent patch quality from …

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d count what the session could not keep up with. Below is the agent trace from this post on a real call: four questions, three execute tool get weather spans, 61.87s costing $0.08, or about $4.50 for an hour of talking at that rate. Pydantic Logfire files each session alongside your other agent runs, since the session span carries the same agent name its Runs view groups on. If you build something with it, or hit something that doesn't feel right, we want to hear about it, on GitHub or in Slack.

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angfuse and LangSmith document. Both are worth checking against the current docs before you build a workflow on them. It is also a far smaller project than Langfuse, roughly 3,200 GitHub stars against roughly 34,000 in August 2026, which is a real consideration when the plan is to self-host it. For teams that want permissive licensing and a cheap first paid tier, and that can accept a narrower and younger feature surface. 8. Confident AI (DeepEval): where the eval suite is already DeepEval DeepE

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ting how to initialize Qwen3-Embedding-8B on TPU. For complete setup scripts and environment deployment steps, refer to the official AI-Hypercomputer Qwen3-Embedding-8B Recipes on GitHub: Golden-Reference Precision & Numerical Parity To certify enterprise-grade precision, we conducted rigorous mathematical parity evaluations comparing TPU outputs against other XPU golden references across multi-language and multimodal datasets. To evaluate numerical alignment between dense embedding vectors gene

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t of shift in rate limits, or some sort of change in product functionality based on their shifting economics. Has there ever been a bigger shift in a business product’s value than GitHub Copilot’s shift to token-based billing? Microsoft rug pulled two million people that had built workflows on a platform that was allowing them to burn $1,000 to $5,000 in tokens for $20 a month. That’s genuinely crazy! It’s magnitudes more than when Uber jacked up its prices. It’s equally-insane that Anthropic an

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heir own, custom-built, internal AI coding agents. This is different from most of the industry which uses AI coding agents and harnesses like Codex, Claude Code, Cursor, OpenCode, GitHub Copilot, etc. At Ramp, their own version is called Inspect, while at Block it’s Goose (open source), at Stripe it’s Minions, and River at Shopify. But why not just use what frontier labs and coding harness AI startups already offer; why take the time and effort? We reached out to Ramp, a fintech company big on b

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m the SFT dataset. Max context length is 2K during calibration. GGUF Conversion of the Granite 4.2 models to GGUF is done with the canonical llama.cpp tool as described in https://github.com/IBM/gguf gguf-conversion--quantization . Several GGUF formats are provided: We trained the Granite 4.2 language models on an NVIDIA GB200 NVL72 cluster hosted by CoreWeave, featuring: A 72-GPU NVLink domain for high-speed intra-rack communication A non-blocking Fat-Tree NDR 400 Gb/s InfiniBand fabric for ful

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edited":false,"hidden":false,"latest":{"raw":"Finally, now make the network complex, and use classical versions of 7 1 3 code to build a carnot cycle, details: jhegedus42/Szima on github, the codes will give the hamiltonian/legendre... if u want look at the 7x7x7 steano tower and E8 - more details : https://chatgpt.com/share/6a9ed0ab-0578-83ed-adb6-5cd5f1fac11e - u go on the right path as an engineer, now u need the theory to know where u r going","html":" Finally, now make the network complex,

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. The core framework is open source, giving developers and platform teams full visibility into how agents execute work and interact with their systems. The project has over 80,000 GitHub stars, over 9 million downloads, and contributions from hundreds of developers. OpenHands is used by engineers at large enterprises and fast-growing startups to build, run, and scale AI coding agents across real software engineering workflows. The long-term vision is to become the full stack AI coding agent plat

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word. That includes an open frontend, a public database served through an easily consumable REST API that multiple tier 1 AI lab’s capacity planning teams already consume, public GitHub Actions CI provenance, logs, and accuracy validation on every single point. Crucially, our benchmark configs mainly track recipes.vllm.ai and SGLang cookbook on upstream images such that we are measuring the performance actual customers are experiencing instead of measuring benchmax’ed images. In three to four w

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only urge anyone who feels anger and looks for a villain right to instead remain curious instead. To be curious enough to understand what is changing, excited enough to experiment with it. And then, from what we learn, earn the right to decide when resistance is warranted and where to direct it. Content licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. Contact me via mail, bluesky, x, or github. You can sponsor me on github. Color scheme: auto, light, dark.

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ere even pushed away because those things were intentionally gatekept by the people in the know. So maybe the world will have more slop, but it might also have more developers in it, that want things to be fast and small. This entry was tagged ai, programming and thoughts copy as / view markdown Content licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. Contact me via mail, bluesky, x, or github. You can sponsor me on github. Color scheme: auto, light, dark.

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k July 26, 2026 Zig creator calls Bun's Claude Rust rewrite 'unreviewed slop' July 15, 2026 HTTP gets a QUERY method so complex searches can stop pretending to be POST July 14, 2026 Speedier type checks in TypeScript 7.0 as first stable Go release ships July 10, 2026 GitHub cuts short offer to burn repos on CD after mockery ensues A purported jab of Sony's physical media phase-out blows up on GitHub itself July 7, 2026 .NET's long term support is not long term enough, dev complains June 30, 2026

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king. This is most likely because the first three pay large sums of money to Gartner, but AI labs and vendors refuse to pay this “Gartner tax.”; Industry Pulse. Another hours-long GitHub outage, GitHub alternatives are here and fighting for market share, Slack launches Slack Code, text generated by Claude to be watermarked, and Uber open sources SubmitQueue Before we start: apologies for the numerous typos last week. My editor, Dominic, was on vacation, and numerous typos made it through the spe

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red memory for agents is to create a lore based on your past conversations. Turn your codebase into an isometric city and explore its architecture. Matt Pocock’s skills have 200k+ GitHub stars . Theo walked through the select few he uses . A Mac app for transcribing multi-hour recordings , with a CLI for agents. Long read from Cursor on how they built Origin as if it were a database. Really good visually interactive post. Another code-storage startup nipping at GitHub’s heels. This one I’ve been

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stmatengss), Xingyuan Wu (@yokinoshitayoki), @fzyzcjy, @guapisolo, Xuchun Shang (@XucSh), Bo Gao (@Bo-Vincent), He Zhou (@ehuohz), and Yufeng He (@he-yufeng) for their contributions across Mooncake implementation and review, Miles integration and validation, and design feedback, review, and testing. Related Links Mooncake project: https://github.com/kvcache-ai/Mooncake; Mooncake documentation: https://kvcache-ai.github.io/Mooncake/; Miles Mooncake rollout transfer user guide: radixark/miles 2535

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and data reuse. Developer prompt 1: Use $holohub-app-lifecycle to create a separate new Python HoloHub application for displaying endoscopic tool tracking as model outputs https://github.com/Project-MONAI/model-zoo/tree/dev/models/endoscopic tool segmentation. Reuse the MONAI endoscopic tool segmentation model, sample data, preprocessing, and inference. Show the model-derived mask, coverage and timeline, and useful uncertainty measurements in a polished HoloViz overlay. Do not train or modify th

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