DevSecOps in Practice
A Hands-On Guide to Operationalizing DevSecOps at Scale
Updates and recent posts about Gemini 3.. Activity
@devopslinks added a new tool JFrog Xray , 2 weeks, 2 days ago.
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@devopslinks added a new tool OWASP Dependency-Check , 2 weeks, 2 days ago.
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@varbear added a new tool pre-commit , 2 weeks, 2 days ago.
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@devopslinks added a new tool GitGuardian , 2 weeks, 2 days ago.
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@devopslinks added a new tool detect-secrets , 2 weeks, 2 days ago.
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@devopslinks added a new tool Gitleaks , 2 weeks, 2 days ago.
Course
@eon01 published a course, 2 weeks, 2 days ago
Founder, FAUN.dev
Story Trigma Inc Team
@tairascott shared a post, 2 weeks, 2 days 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.
Story
@laura_garcia shared a post, 2 weeks, 2 days 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..
Link
@varbear shared a link, 2 weeks, 2 days 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
At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.
Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.
Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.
