Join us

ContentUpdates and recent posts about GPT-5.3-Codex..
News FAUN.dev() Team
@kala shared an update, 6 months, 1 week ago
FAUN.dev()

LangChain Secures $125M and Launches LangChain & LangGraph 1.0

LangChain

LangChain raised $125 million to enhance its agent engineering platform, introducing LangChain and LangGraph 1.0 with new tools like the Insights Agent and a no-code agent builder, aiming to transform LLM applications into reliable agents.

LangChain Secures $125M and Launches LangChain & LangGraph 1.0
News FAUN.dev() Team
@devopslinks shared an update, 6 months, 1 week ago
FAUN.dev()

SUSE Linux Enterprise 16 Launches with AI for Smarter Operations

Ansible SUSE Snapper

SUSE releases Linux Enterprise Server 16, integrating AI to boost efficiency and cut costs, with features like secure AI integration and a 16-year support lifecycle.

SUSE Linux Enterprise 16 Launches with AI for Smarter Operations
News FAUN.dev() Team
@devopslinks shared an update, 6 months, 1 week ago
FAUN.dev()

Ubuntu 25.10 Takes a Bold Leap — Targets Modern CPUs with New amd64v3 Architecture

Ubuntu

Ubuntu 25.10 introduces support for amd64v3 architecture variants, enhancing performance by targeting specific silicon variants, with full support expected in the 26.04 LTS release.

Ubuntu 25.10 Takes a Bold Leap — Targets Modern CPUs with New amd64v3 Architecture
News FAUN.dev() Team
@devopslinks shared an update, 6 months, 1 week ago
FAUN.dev()

Google Introduces Quantum-Safe KEMs in Cloud KMS for Future Security

Cloud KMS

Google introduces quantum-safe KEMs in Cloud KMS to counter future quantum computing threats, urging organizations to transition to post-quantum cryptography.

Google Introduces Quantum-Safe KEMs in Cloud KMS for Future Security
News FAUN.dev() Team
@kala shared an update, 6 months, 1 week ago
FAUN.dev()

Red Hat Joins Forces with NVIDIA to Bring CUDA Everywhere

NVIDIA CUDA Toolkit

Red Hat and NVIDIA partner to distribute the NVIDIA CUDA Toolkit across Red Hat platforms, aiming to simplify AI adoption and enhance developer experience.

Red Hat Joins Forces with NVIDIA to Bring CUDA Everywhere
News FAUN.dev() Team
@devopslinks shared an update, 6 months, 1 week ago
FAUN.dev()

Amazon to Lay Off 14,000 Workers as Part of 30,000-Job Restructuring

Amazon plans to lay off 14,000 employees to streamline operations and boost AI investment, part of a broader strategy affecting up to 30,000 jobs.

Amazon to Lay Off 14,000 Workers as Part of 30,000-Job Restructuring
Story
@laura_garcia shared a post, 6 months, 1 week ago
Software Developer, RELIANOID

RELIANOID will be attending The North European Cyber Days 2025 in Oslo (Nov 4–6)!

We’re proud to support Europe’s cybersecurity and AI ecosystem — driving innovation, resilience, and trusted digital transformation with our high-performance ADC and proxy technologies. #Relianoid#CyberDays2025#CyberSecurity#AI#DigitalResilience#Innovation https://www.relianoid.com/about-us/events/t..

The north european cyber days oslo relianoid
Story
@elenamia shared a post, 6 months, 1 week ago
Technical Consultant, Damco Solutions

Why Enterprises Are Moving from Break-Fix to Proactive Application Maintenance and Support

Discover why forward-thinking enterprises are replacing break-fix models with proactive application maintenance.

10782917_19199321
Story
@brooksamybrook shared a post, 6 months, 1 week ago
Executive, CMARIX InfoTech

How to Assess and Improve Growth with the AI Maturity Model

AI maturity measures an organization’s ability to generate consistent business value from AI across strategy, data, people, and technology. The AI Maturity Model spans four stages—Initial, Repeatable, Defined, and Optimized—guiding firms from experimentation to full AI integration. Assessing AI maturity helps identify gaps, align investments, and turn AI from scattered projects into a sustainable, strategic advantage.

Assess Your Organization’s AI Maturity Model
Story
@arunsinghh011 shared a post, 6 months, 1 week ago
Business associate, Xcelore Private Limited

Building the Future: The Art of Smart AI Product Development

Have you ever wondered when “AI” stopped being a sci-fi buzzword and started showing up in your morning to-do list? Somewhere between that first predictive email and the chatbot that apologizes better than most customer reps, it happened. Quietly. Suddenly. Like caffeine sneaking into your bloodstream before the day really begins. That’s where AI product development services come in—not as some sterile tech jargon, but as the very engine redefining how we build, think, and work.

GPT-5.3-Codex is OpenAI’s advanced agentic coding model, designed to go beyond writing code and operate as a general-purpose collaborator on a computer. It builds on GPT-5.2-Codex by combining stronger coding performance with improved reasoning and professional knowledge, while running about 25% faster. The model is optimized for long-running tasks that involve research, tool use, and complex execution, and it performs at the top of industry benchmarks such as SWE-Bench Pro and Terminal-Bench.

Unlike earlier Codex models that focused primarily on code generation and review, GPT-5.3-Codex can reason, plan, and act across the full software lifecycle. It supports activities such as debugging, deploying, monitoring, writing product requirement documents, creating tests, and analyzing metrics. It can also autonomously build and iterate on complex applications and better interpret underspecified prompts, producing more complete and production-ready results by default.

A defining feature of GPT-5.3-Codex is its interactive, agentic workflow. Users can steer the model while it is working, receive progress updates, and adjust direction without losing context, making it feel more like a teammate than a batch automation tool. The model was even used internally to help debug its own training and deployment processes. GPT-5.3-Codex is available through paid ChatGPT plans in the Codex app, CLI, IDE extension, and web, with API access planned for the future.