DevSecOps in Practice
A Hands-On Guide to Operationalizing DevSecOps at Scale
Updates and recent posts about INTELLECT-3.. Activity
@devopslinks added a new tool JFrog Xray , 1 month, 4 weeks ago.
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@devopslinks added a new tool OWASP Dependency-Check , 1 month, 4 weeks ago.
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@varbear added a new tool pre-commit , 1 month, 4 weeks ago.
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@devopslinks added a new tool GitGuardian , 1 month, 4 weeks ago.
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@devopslinks added a new tool detect-secrets , 1 month, 4 weeks ago.
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@devopslinks added a new tool Gitleaks , 1 month, 4 weeks ago.
Course
@eon01 published a course, 1 month, 4 weeks ago
Founder, FAUN.dev
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@tairascott shared a post, 1 month, 4 weeks ago
AI Expert and Consultant, Trigma
How Do Large Language Models (LLMs) Work? An In-Depth Look
Discover how Large Language Models work through a clear and human centered explanation. Learn about training, reasoning, and real world applications including Agentic AI development and LLM powered solutions from Trigma.
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@laura_garcia shared a post, 1 month, 4 weeks ago
Software Developer, RELIANOID
🔐 RELIANOID at Gartner IAM Summit 2025 | Dec 8–10, Grapevine, TX
We’re heading to the Gartner Identity & Access Management Summit to showcase how RELIANOID’s intelligent proxy and ADC platforms empower modern IAM: enhancing Zero Trust enforcement, adaptive access, and hybrid/multi-cloud security. Join us to explore AI-driven automation, ITDR, and identity governa..
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@varbear shared a link, 1 month, 4 weeks ago
FAUN.dev()
Confessions of a Software Developer: No More Self-Censorship
A mid-career dev hits pause after ten years in the game -realizing core skills likepolymorphism, SQL, and automated testingnever quite clicked. Leadership roles, shipping products, mentoring junior devs - none of it filled those gaps. They'd been writingC#/.NETfor a while too. Not out of love, just .. read more
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.
