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@devopslinks shared a link, 2 weeks, 5 days ago
FAUN.dev()

GitHub Actions Is Slowly Killing Your Engineering Team

A seasoned CI engineer lays into GitHub Actions - too fragile, too fuzzy, too slow. Logs glitch. YAML confuses. Compute chokes. It solves for convenience, not power. Buildkitesteps in with stronger bones: reproducible runs, clean orchestration, and scalable agents you control... read more  

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@devopslinks shared a link, 2 weeks, 5 days ago
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Why does SSH send 100 packets per keystroke? ·

The default macOS SSH client now floods connections withSSH2_MSG_PING “chaff” packets- a 2023 privacy tweak meant to hide keystroke timing. Nice in theory. In practice? It tanks performance for real-time terminal apps like games built on Bubbletea over SSH. Turning it off - either through client fla.. read more  

Why does SSH send 100 packets per keystroke? ·
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@devopslinks shared a link, 2 weeks, 5 days ago
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From Paging to Postmortem: Google Cloud SREs on Using Gemini CLI for Outage Response

Google Cloud SREs just leveled up their incident response game with theGemini CLI- an LLM-fueled terminal sidekick built onGemini 3. It jumps in fast: drafts mitigation playbooks, digs into root causes, and cranks out postmortem reports. All withhuman-in-the-loopguardrails to keep things sane... read more  

From Paging to Postmortem: Google Cloud SREs on Using Gemini CLI for Outage Response
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@kala shared an update, 2 weeks, 5 days ago
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GitHub Launches Copilot SDK to Embed Agentic AI into Any Application

GitHub Copilot GitHub Copilot SDK

GitHub has released the Copilot SDK in technical preview, allowing developers to embed Copilot’s agentic execution loop into their own applications. The SDK supports multiple AI models, real-time streaming, and languages like Python, TypeScript, Go, and .NET, but currently requires a Copilot subscription and is intended for development and testing rather than production use.

GitHub Launches Copilot SDK to Embed Agentic AI into Any Application
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@varbear shared an update, 2 weeks, 5 days ago
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VillageSQL Launches: A Drop-In MySQL Fork Bringing Extensions and AI to the Core

MySQL VillageSQL

VillageSQL is a drop-in, open-source fork of MySQL that introduces a true extension framework, enabling permissionless innovation for AI-era workloads. It allows developers to add custom data types and functions - with vector indexing and search on the roadmap - bringing MySQL closer to PostgreSQL-style extensibility without waiting for core upstream changes.

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@kala added a new tool GitHub Copilot SDK , 2 weeks, 5 days ago.
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@varbear added a new tool VillageSQL , 2 weeks, 5 days ago.
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@devopslinks shared an update, 2 weeks, 5 days ago
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MinIO Ends Community Development, Positions AIStor as the Future

MinIO AIStor

MinIO has marked its open-source GitHub repository as "THIS REPOSITORY IS NO LONGER MAINTAINED," effectively ending active community development. The company is shifting focus to AIStor, its subscription-based enterprise object storage platform. The code remains available under AGPLv3, but future innovation and support are centered on the commercial product.

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@devopslinks added a new tool AIStor , 2 weeks, 5 days ago.
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@laura_garcia shared a post, 2 weeks, 6 days ago
Software Developer, RELIANOID

Pink26: ITSM – The Next Generation 🚀

📍 February 16–18, 2026 | Las Vegas The future of IT Service Management starts here. Pink26 brings together global IT leaders for a powerful mix of innovation, learning, and real-world transformation — inspired by the spirit of Star Trek: The Next Generation. From ITSM and DevOps to AI, Agile, and Ex..

pink26 las vegas relianoid
INTELLECT-3 is a frontier-class 100B+ Mixture-of-Experts language model developed by Prime Intellect and trained end-to-end using their large-scale asynchronous RL framework, PRIME-RL. Built on the GLM-4.5-Air base model, INTELLECT-3 combines supervised fine-tuning with long-horizon reinforcement learning across hundreds of verifier-backed environments spanning math, code, science, logic, and agentic tasks.

The model was trained on a high-performance cluster of 512 NVIDIA H200 GPUs across 64 nodes, supported by Prime Intellect’s Sandboxes execution engine, deterministic compute orchestration, and Lustre-backed distributed storage. The result is a model that surpasses many larger systems in reasoning benchmarks while remaining fully open-source.

Prime Intellect released not only the model weights but also the full training recipe: PRIME-RL, Verifiers, the Environments Hub, datasets, and evaluation suites. INTELLECT-3 is positioned as a foundation for organizations seeking to post-train or customize their own frontier-grade models without relying on proprietary AI labs.