How to Combine Monkey Testing With Structured Test Automation?
Explore a practical approach to combining monkey testing with structured test automation, including smart test design, observability, and risk-based execution.
Updates and recent posts about GPT-5.3-Codex..
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@idjuric660 shared a post, 2 weeks, 4 days ago
Technical Content Writer, Mailtrap
5 Best Email API for Node.js Developers Tested & Compared
The best email APIs for Node.js developers are Mailtrap, Mailgun, SendGrid, Amazon SES, and Postmark. I tested each by building a demo application and integrating all services to find which provides the best SDK. Read on for complete results. Node.js email API comparison SDK quality SDK ‘quality’ co..
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@nithinsys9786 started using tool Visual Studio Code , 2 weeks, 4 days ago.
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@nithinsys9786 started using tool Adobe Analytics , 2 weeks, 4 days ago.
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@matx104 started using tool Kubernetes - The Easier Way , 2 weeks, 6 days ago.
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@matx104 started using tool Azure Kubernetes Service (AKS) , 2 weeks, 6 days ago.
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@laura_garcia shared a post, 2 weeks, 6 days ago
Software Developer, RELIANOID
🎉 𝗪𝗲 𝗗𝗶𝗱 𝗜𝘁 — 𝟭,𝟳𝟬𝟬+ 𝗙𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 𝗼𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻! 🚀
Big news from the RELIANOID team! We’ve just crossed 𝟭,𝟳𝟬𝟬 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 on LinkedIn, and we couldn’t be more grateful 🙌 This community is growing thanks to you — our partners, customers, tech enthusiasts, and cybersecurity professionals who follow our journey in application delivery, security, and high..
Link Xygeni Team
@mashka shared a link, 2 weeks, 6 days ago
Paid Acquisition and Growth Marketing, xygeni
When AI Became Part of the Attack Surface
AI is now a core execution layer in software delivery. In 2025, attackers exploited automation, trusted pipelines, and AI-generated code instead of vulnerabilities. This report explains why traditional AppSec signals failed and what must change in 2026.
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@viktoriiagolovtseva shared a post, 2 weeks, 6 days ago
How to Plan a Product Release in Jira
From the Release Hub and backlog management to automated release notes, Jira has plenty of tools to help you plan your next release. In this blog post, we explain how to use these tools effectively for different release types. You will also get practical tips for extending the native Jira release planning capabilities with additional apps. Let’s dive in!
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.
