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ContentUpdates and recent posts about GPT-5.3-Codex..
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@laura_garcia shared a post, 1 month, 3 weeks ago
Software Developer, RELIANOID

AI-driven cyberthreats previsions

At the end of last year, we warned that AI-driven cyberthreats would accelerate industrial risk in 2026. Just a few months into the year, that prediction is already proving accurate. We’re seeing clear signals that attackers are increasingly leveraging Artificial Intelligence to: - Automate reconnai..

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@laura_garcia shared a post, 1 month, 3 weeks ago
Software Developer, RELIANOID

𝗡𝗜𝗦𝟮 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁

Alignment for RELIANOID Load Balancer & Organizational Operations At RELIANOID, we recognize the strategic importance of the EU NIS2 Directive in strengthening cybersecurity resilience across Europe. As an advanced load balancing and application delivery provider, RELIANOID qualifies as an Important..

nis2 compliance RELIANOID
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@craitrix created an organization Craitrix , 1 month, 3 weeks ago.
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@laura_garcia shared a post, 1 month, 3 weeks ago
Software Developer, RELIANOID

𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 (𝗙𝘂𝗹𝗹-𝘁𝗶𝗺𝗲 | 𝗥𝗲𝗺𝗼𝘁𝗲 / 𝗛𝘆𝗯𝗿𝗶𝗱)

🚀 𝗪𝗲’𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴: 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 (𝗙𝘂𝗹𝗹-𝘁𝗶𝗺𝗲 | 𝗥𝗲𝗺𝗼𝘁𝗲 / 𝗛𝘆𝗯𝗿𝗶𝗱) At RELIANOID, we’re accelerating the evolution of our cloud-native solutions — and we need talented engineers to join us. We’re looking for 𝟮 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 to join our Product Engineering team and help shape the future ..

careers RELIANOID hiring
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@devopslinks shared a link, 1 month, 3 weeks ago
FAUN.dev()

Chinese Vulnerability Database: CNVD vs CNNVD Analysis

Investigation profilesCNNVDandCNVDechoCVE. They reveal manual errors and poor machine-readability. China’s July 2021RMSVmandates 48-hour reporting and bans pre-patch disclosure. Mapping gaps exist. The databases published about1.4kentries ahead ofCVE, with lead times measured in months... read more  

Chinese Vulnerability Database: CNVD vs CNNVD Analysis
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@devopslinks shared a link, 1 month, 3 weeks ago
FAUN.dev()

Building a Least-Privilege AI Agent Gateway for Infrastructure Automation with MCP, OPA, and Ephemeral Runners

Introduces anAI Agent Gateway. It mediates agent requests, validates intent, enforcespolicy-as-code, and isolates execution inephemeral runners. Agents discover tools viaMCP. They submitJSON-RPCcalls and receiveOPAdecisions. Jobs queue and run in short-lived namespaces. Each run carries plan hashes,.. read more  

Building a Least-Privilege AI Agent Gateway for Infrastructure Automation with MCP, OPA, and Ephemeral Runners
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@devopslinks shared a link, 1 month, 3 weeks ago
FAUN.dev()

The Only Claude Skill Every DevOps Engineer Needs

TheTerraform Claude SkillturnsClaude Codeinto a Terraform expert. It enforces modularity, strict naming, and consistent tagging. It treats thestate fileas the single source of truth. It wires in external tools: linting, security checks, and cost estimates. It forces real-doc validation and blocks in.. read more  

The Only Claude Skill Every DevOps Engineer Needs
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@devopslinks shared a link, 1 month, 3 weeks ago
FAUN.dev()

The hunt for truly zero-CVE container images

Chainguard's Factory 2.0 andDriftlessAFrebuild images from source on upstream changes. They produce 2,000+ minimalzero‑CVEimages. Each image includes anSBOMand a cryptographicsignature. Docker'sDHIbuilds onDebianandAlpine. It mirrors Debian'sno‑DSAtriage intoVEX. It also suppresses real CVEs until D.. read more  

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@devopslinks shared a link, 1 month, 3 weeks ago
FAUN.dev()

Please stop externalizing your costs directly into my face

SourceHut spent20–100%of weekly time mitigating hyper‑aggressive LLM crawlers. That work caused dozens of short outages and delayed core projects. The crawlers ignorerobots.txt. They hit costly endpoints likegit blame. They scan full git logs and commits. They rotate randomUser‑Agentsand thousands o.. read more  

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@secuodsoft created an organization Secuodsoft , 1 month, 4 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.