Updates and recent posts about Gemini 3..

Posts
Description

Link

@devopslinks shared a link, 2 months, 3 weeks ago

FAUN.dev()

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

Link

@devopslinks shared a link, 2 months, 3 weeks 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

Link

@devopslinks shared a link, 2 months, 3 weeks ago

FAUN.dev()

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

News FAUN.dev() Team

@kala shared an update, 2 months, 3 weeks ago

FAUN.dev()

GitHub Launches Copilot SDK to Embed Agentic AI into Any Application

#GitHub ... #agentic... #Copilot... #AI mode... #github

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

News FAUN.dev() Team

@varbear shared an update, 2 months, 3 weeks ago

FAUN.dev()

VillageSQL Launches: A Drop-In MySQL Fork Bringing Extensions and AI to the Core

#mysql #Village... #DB #databas... #AI

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.

Activity

@kala added a new tool GitHub Copilot SDK , 2 months, 3 weeks ago.

Activity

@varbear added a new tool VillageSQL , 2 months, 3 weeks ago.

News FAUN.dev() Team Trending

@devopslinks shared an update, 2 months, 3 weeks ago

FAUN.dev()

MinIO Ends Community Development, Positions AIStor as the Future

#Min.io #S3 #Object ... #AIStor #open so...

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.

Activity

@devopslinks added a new tool AIStor , 2 months, 3 weeks ago.

Story

@laura_garcia shared a post, 2 months, 3 weeks 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..

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.