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ContentUpdates and recent posts about GPT-5.3-Codex..
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devopslinks
@devopslinks shared a link, 1 month, 2 weeks ago
FAUN.dev()

async dns

A developer went digging for safer async DNS incurlafterpthread_cancelstarted breaking things. Threadless, callback-free options took the spotlight.OpenBSD’sasrquickly stood out, clean event loop integration, no threads, no drama. Beat outc-areson portability and design clarity... read more  

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kaptain
@kaptain shared an update, 1 month, 2 weeks ago
FAUN.dev()

Docker Brings Production-Grade Hardened Images to Developers at No Cost

#Complia...  #Docker ...  #supply-...  #Securit...  #docker 
Docker

Docker has launched Docker Hardened Images, a secure and minimal set of production-ready images. These images are now freely available to developers.

Docker Brings Production-Grade Hardened Images to Developers at No Cost
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anjali
@anjali shared a link, 1 month, 2 weeks ago
Customer Marketing Manager, Last9

OTel Updates: OpenTelemetry Deprecates Zipkin Exporters

OpenTelemetry deprecates Zipkin exporters in favor of native OTLP support. Migration paths and timeline through December 2026.

depreciating_zipkin
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kaptain
@kaptain shared an update, 1 month, 3 weeks ago
FAUN.dev()

Argo CD 3.2.2 Improves Secret Management, Retry Safety, and Auth Checks

#Securit...  #gitops  #argocd  #Argo CD  #kuberne... 
Kubernetes Argo CD

ArgoCD v3.2.2 has been released, featuring a new addition, two enhancements, and a bug fix. This update aims to improve the overall functionality and reliability of the platform.

Argo CD 3.2.2 Improves Secret Management, Retry Safety, and Auth Checks
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devopslinks
@devopslinks shared an update, 1 month, 3 weeks ago
FAUN.dev()

Rust Confirmed for Linux Kernel: Experiment Concludes Successfully

#Rust  #linux  #unix  #Linux k...  #The Rus... 
Rust GNU/Linux The Linux Kernel UNIX

The Rust experiment in the Linux kernel concludes, confirming its suitability and permanence in kernel development, with Rust now used in production and supported by major Linux distributions.

Rust Confirmed for Linux Kernel: Experiment Concludes Successfully
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eon01
@eon01 published a course, 1 month, 3 weeks ago
Founder, FAUN.dev

Generative AI For The Rest Of US

#AI  #Generat...  #LLM  #Large L...  #gpt 
ChatGPT GPT

Your Future, Decoded

Generative AI For The Rest Of US
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kaptain
@kaptain shared an update, 1 month, 3 weeks ago
FAUN.dev()

Kubernetes v1.35 Timbernetes Release: 60 Enhancements

#k8s  #Timbern...  #cgroups  #docker  #kuberne... 
Kubernetes Gateway API Kubernetes

Kubernetes v1.35, the Timbernetes Release, debuts with 60 enhancements, including stable in-place Pod updates and beta features for workload identity and certificate rotation.

Kubernetes v1.35 Timbernetes Release: 60 Enhancements
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kaptain
@kaptain added a new tool Kubernetes Gateway API , 1 month, 3 weeks ago.
News FAUN.dev() Team
kala
@kala shared an update, 1 month, 3 weeks ago
FAUN.dev()

Google Releases Magika 1.0: AI File Detection in Rust

#Rust  #Generat...  #file ty...  #Magika  #AI 
Rust Magika

Google releases Magika 1.0, an AI file detection system rebuilt in Rust for improved performance and security.

Google Releases Magika 1.0: AI File Detection in Rust
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kala
@kala added a new tool Magika , 1 month, 3 weeks ago.
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.