Join us

ContentUpdates and recent posts about GPT-5.3-Codex..
News FAUN.dev() Team
@kala shared an update, 1 month, 3 weeks ago
FAUN.dev()

Google’s Cloud APIs Become Agent-Ready with Official MCP Support

Apigee Google Cloud Platform Google Kubernetes Engine (GKE) BigQuery

Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.

 Activity
@devopslinks added a new tool BigQuery , 1 month, 3 weeks ago.
News FAUN.dev() Team
@devopslinks shared an update, 1 month, 3 weeks ago
FAUN.dev()

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments

Datadog Amazon CloudWatch Dynatrace New Relic Amazon Web Services

AWS introduces an autonomous AI DevOps Agent to enhance incident response and system reliability, integrating with tools like Amazon CloudWatch and ServiceNow for proactive recommendations.

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
 Activity
@devopslinks added a new tool ServiceNow , 1 month, 3 weeks ago.
Story
@laura_garcia shared a post, 1 month, 3 weeks ago
Software Developer, RELIANOID

The UK raises the bar on digital security

With cyberattacks on the rise, the Product Security and Telecommunications Infrastructure (PSTI) Act marks a major step toward making connected technology secure by design. In our latest article, we explain: What the PSTI Act requires Why it matters beyond consumer IoT How it signals a global sh..

Story Palark Team Trending
@shurup shared a post, 1 month, 3 weeks ago
@palark

New CNCF Sandbox projects in 2025: From Podman to CloudNativePG

Kubernetes

Each year, 25-30 new Open Source projects related to the Cloud Native ecosystem are accepted to the CNCF Sandbox. In January 2025, there were 13 additions, with four of them donated by Red Hat. Here's the list of these newly added CNCF projects: - Podman Container Tools (security-focused Docker alte..

CNCF Sandbox projects in January 2025
Story
@sancharini shared a post, 1 month, 3 weeks ago

CI Testing Best Practices for Reliable and Fast Builds

As software teams adopt continuous integration, build speed and reliability become critical success factors. CI testing plays a central role in ensuring that every code change is validated quickly and consistently before it moves further down the delivery pipeline. Without clear practices, however, ..

Story FAUN.dev() Team
@eon01 shared a post, 1 month, 3 weeks ago
Founder, FAUN.dev

Announcing FAUN.sensei() — Self-paced guides to grow fast — even when tech moves faster.

Docker GitLab CI/CD Helm Kubernetes GitHub Copilot

After months of hard work, FAUN.sensei() is finally alive!

FAUN.sensei()
Story
@laura_garcia shared a post, 1 month, 3 weeks ago
Software Developer, RELIANOID

🌟 𝗪𝗲’𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴! 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗧𝗲𝗮𝗺 🌟

Are you passionate about technology, networking, and innovation? At RELIANOID, we’re building cutting-edge solutions that power secure, scalable, and reliable infrastructures — and we’re looking for talented people to join us on this journey! 🚀 Whether you’re an experienced professional or just star..

careers RELIANOID hiring
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.