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@marxjenes shared a post, 1 week, 5 days ago

Why Test Automation Frameworks Are Essential for Scalable Testing?

Learn why test automation frameworks are essential for scalable testing, enabling teams to manage large test suites, improve test efficiency, and maintain reliable software quality.

Why Test Automation Frameworks Are Essential for Scalable Testing
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@shubham321 shared a post, 1 week, 5 days ago
Software engineer, Keploy

System Integration Testing (SIT) in Software Testing: Complete Guide

System Integration Testing (SIT) is an essential phase in the software testing lifecycle that focuses on verifying how different components of a system interact with each other. In modern software applications, multiple modules such as APIs, databases, services, and external systems work together to deliver functionality. While individual modules may function correctly when tested separately, issues often arise when these modules are integrated. SIT helps identify and resolve such issues before the software moves to later testing stages.

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@sancharini shared a link, 1 week, 5 days ago

Software Regression Testing Services: Ensuring Stability After Every Change

Software Regression Testing Services: Ensuring Stability After Every Change

regression testing services
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@laura_garcia shared a post, 1 week, 5 days ago
Software Developer, RELIANOID

𝗠𝗪𝗖 𝟮𝟬𝟮𝟲: 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗹𝗲𝗮𝗿𝗻𝗲𝗱 𝗳𝗼𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆 & 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆

🔵 𝗠𝗪𝗖 𝟮𝟬𝟮𝟲: 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗹𝗲𝗮𝗿𝗻𝗲𝗱 𝗳𝗼𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆 & 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 After an intense week in Barcelona, one thing is clear: 👉 The future is not just about connectivity… it’s about 𝗵𝗼𝘄 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱, 𝘀𝗲𝗰𝘂𝗿𝗲𝗱, 𝗮𝗻𝗱 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗱 🚀 Key takeaways 𝟭. 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘄 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 AI-driven networks are h..

MWC26_relianoid_recap
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@laura_garcia shared a post, 1 week, 6 days ago
Software Developer, RELIANOID

Retailers invest millions in digital experiences…

but what happens when the checkout stops working? A recent outage affecting the online services of Tesco has once again sparked an important discussion: how resilient are modern retail platforms? Customers reported failures during some of the most critical moments of the shopping journey: - Checkout..

tesco outage
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@hamzmu shared a link, 1 week, 6 days ago
Fellow, Rootly

On-Call Burnout: What Incident Data Doesn’t Show

Incident dashboards measure system health, but rarely show the workload and strain engineers face when responding to alerts. Incident load isn’t only about the number of incidents, but the patterns surrounding them. In this article we explore these patterns and introduce On-Call Health, an open-source tool that analyzes engineering signals to surface early burnout trends, highlighting why incident volume alone isn’t enough and why after-hours interruptions, workload stacking, and long-term trends matter.

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@sagar0041 started using tool Jenkins , 2 weeks, 1 day ago.
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@sagar0041 started using tool Kubernetes Dashboard , 2 weeks, 1 day ago.
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@ishanupadhyay started using tool Jenkins , 2 weeks, 1 day ago.
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@ishanupadhyay started using tool Azure Pipelines , 2 weeks, 1 day 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.