Join us

ContentUpdates and recent posts about Gemini 3..
Course
@eon01 published a course, 2 months, 3 weeks ago
Founder, FAUN.dev

Painless Docker - 2nd Edition

Docker Compose Docker Grype Syft Docker Swarm Go Python

A Comprehensive Guide to Mastering Docker and its Ecosystem

Painless Docker - 2nd Edition
Story
@laura_garcia shared a post, 2 months, 3 weeks ago
Software Developer, RELIANOID

🚀 FinovateEurope 2026

📍 London, UK | 🗓️ 10–11 February 2026 Market-ready innovations. Executive-level networking. Inspiring insights. FinovateEurope brings together banking leaders, fintech innovators, investors, and technology providers to shape the future of financial services at a critical moment for the global fint..

finovate europe 2026 london relianoid
News FAUN.dev() Team
@kala shared an update, 2 months, 4 weeks ago
FAUN.dev()

This Is the First AI That Helped Build Itself - Meet GPT-5.3-Codex

GPT-5.3-Codex

GPT-5.3-Codex, an advanced model, enhances coding performance and reasoning, operating 25% faster than its predecessor. It excels in industry benchmarks, supports the software lifecycle, and can autonomously build complex applications. The model is available on multiple platforms with plans for API access.

This Is the First AI That Helped Build Itself - Meet GPT-5.3-Codex
 Activity
@kala added a new tool GPT-5.3-Codex , 2 months, 4 weeks ago.
Story
@laura_garcia shared a post, 3 months ago
Software Developer, RELIANOID

🔐 CISO Sydney 2026

📍 Sydney, Australia | 🗓 10–11 February 2026 CISO Sydney returns for its 5th edition, bringing together New South Wales’ most senior Information Security leaders to explore how cybersecurity can truly enable business growth. From AI-driven threats and shared risk responsibility to culture-first secur..

ciso sydney 2026 relianoid
 Activity
@nelly96 added a new tool GPTHuman , 3 months ago.
Story
@laura_garcia shared a post, 3 months ago
Software Developer, RELIANOID

Want to deploy RELIANOID Load Balancer Enterprise Edition v8 on AWS using Terraform in a clean, automated way?

We’ve got you covered. In this step-by-step guide, you’ll learn how to: Use the official Terraform module from the Terraform Registry Automatically provision VPC, subnet, security groups, and EC2 Deploy the RELIANOID Enterprise Edition AMI Access the VM via SSH and Web GUI Easily destroy all resourc..

terraform_relianoid_enterprise_img2
Story Keploy Team
@sancharini shared a post, 3 months ago

Interpreting Software Testing Metrics Beyond Dashboards

Learn how to interpret software testing metrics beyond dashboards, turning raw data into actionable insights that improve release decisions and reduce risk.

Interpreting Software Testing Metrics Beyond Dashboards
Story Trending
@idjuric660 shared a post, 3 months ago
Technical Content Writer, Mailtrap

5 Best Email API for Python Developers Tested & Compared

The best email APIs for Python developers are Mailtrap, Mailgun, SendGrid, Amazon SES, and Postmark. SDK quality & framework compatibility All five providers offerPythonSDKs and they’re compatible with popular frameworks. I tested each withDjango,Flask, and FastAPI to assess real-world integration. ..

Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

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.