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@himanshu shared a post, 15 hours ago

Software Testing Strategies: A Practical Guide for Modern Development

Software quality is a critical factor in modern application development. As development teams adopt Agile, DevOps, and CI/CD pipelines, testing must also evolve to ensure software remains reliable and secure. A well-defined testing plan helps teams identify bugs early, reduce risks, and deliver bett..

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@pramod_kumar_0820 shared a link, 15 hours ago

Software Engineer, Teknospire

Why Most Spring Boot Apps Fail in Production (7 Critical Mistakes)

Most Spring Boot applications run perfectly in development.

The APIs respond quickly, tests pass, and everything seems stable.

But once the application reaches production, things can change dramatically — slow responses, memory issues, and unexpected failures start appearing.

In many cases, the problem isn't Spring Boot itself.
It's a set of common mistakes developers unknowingly introduce into their applications.

In this article, we'll explore 7 critical mistakes that cause many Spring Boot apps to fail in production — and how to avoid them.

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@marxjenes shared a post, 15 hours 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.

INTELLECT-3 is a frontier-class 100B+ Mixture-of-Experts language model developed by Prime Intellect and trained end-to-end using their large-scale asynchronous RL framework, PRIME-RL. Built on the GLM-4.5-Air base model, INTELLECT-3 combines supervised fine-tuning with long-horizon reinforcement learning across hundreds of verifier-backed environments spanning math, code, science, logic, and agentic tasks.

The model was trained on a high-performance cluster of 512 NVIDIA H200 GPUs across 64 nodes, supported by Prime Intellect’s Sandboxes execution engine, deterministic compute orchestration, and Lustre-backed distributed storage. The result is a model that surpasses many larger systems in reasoning benchmarks while remaining fully open-source.

Prime Intellect released not only the model weights but also the full training recipe: PRIME-RL, Verifiers, the Environments Hub, datasets, and evaluation suites. INTELLECT-3 is positioned as a foundation for organizations seeking to post-train or customize their own frontier-grade models without relying on proprietary AI labs.