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@cloudsignals shared a post, 10 hours ago
Director - Cloud Engineering, osttra

Terraform Production Readiness Cheatsheet

Terraform Terragrunt

Terraform working isn’t enough. Learn what it takes to make it production-ready — from backend design to security and automated pipelines.

Terraform Production Readiness Cheatsheet
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@cloudsignals shared a post, 18 hours ago
Director - Cloud Engineering, osttra

DevSecOps: Rapid & Secure Delivery

SonarQube Vault Kyverno Open Policy Agent (OPA) Trivy

If security is your last step, you’re already too late. This guide shows how to build a DevSecOps pipeline where security is continuous, automated, and invisible to delivery speed.

DevSecOps - Rapid & Secure Delivery
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@varbear shared a link, 1 day, 11 hours ago
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GitHub backs down, kills Copilot PR ‘tips’ after backlash

GitHub revoked Copilot's ability to inject tips into other users' pull requests after reports that Copilot Review inserted aRaycastlink. They disabled agent tips in PR comments, blamed a programming-logic bug, and said they won't turn tips into ads... read more  

GitHub backs down, kills Copilot PR ‘tips’ after backlash
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@varbear shared a link, 1 day, 11 hours ago
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SQLite Features You Didn’t Know It Had: JSON, text search, CTE, STRICT, generated columns, WAL

SQLite packsJSONextraction, expression indexes,FTS5full-text search,CTEs, window functions, andWALinto a single file. It enforcesstrict tables, supportsgenerated columns, and indexes JSON expressions for fast semi-structured queries... read more  

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@varbear shared a link, 1 day, 11 hours ago
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I told Claude Code to build me an executive assistant. This is what my work as CTO looks like now

CTO at ZAR shares his experience managing 10 engineers, shipping code, and operating at the C-level with an AI assistant named Claude Code. The system allows him to maintain context across multiple workstreams, automate tasks, and scale his productivity. In just three weeks, he has documented 82 mee.. read more  

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.