Top 10 Agentic AI Frameworks that You Need to Know
By Sanya Khetarpaul on Sep 19, 2025 4:05:06 PM
From Test Scripts to Intelligent Agents: The Future of Software Testing
By Priyanka Ghosh on Aug 20, 2025 4:57:42 PM
The pace of the software development cycle today is relentless. In agile-driven organizations, releases happen every now and then, sometimes even multiple times a day.
For years, we have relied on traditional testing: painstakingly written, updated, and maintained to ensure quality. But now, AI-powered testing agents have come to the rescue, and they are changing the game completely.
AI Agents vs Traditional Testing: Comparing Bug Detection Methods in 2025
By Priyanka Ghosh on Aug 1, 2025 5:26:54 PM
Ever launched a product thinking everything was on point, only to have a bug slipping in that no one saw coming? You’re not alone.
In fact, according to a recent research by Gitnux, 70% of bugs are reported post-release, highlighting limited test coverage.
Now, in 2025, the testing landscape has undergone major changes. Alongside tried and tested methods like manual testing, regression testing, and automated scripts, we’re seeing the rise of something new: AI agents.
5 Agentic AI Frameworks Developers Are Using to Build Smarter Agents
By Rashi Chandra on Jul 24, 2025 5:17:09 PM
Autonomous agents are no longer a research concept; they are being deployed to handle complex, multi-step workflows across tools, departments, and even entire business units. From automating software engineering tasks to accelerating product research or managing multi-channel operations, agentic AI frameworks are powering a new class of systems that can reason, plan, and take actions with minimal human intervention.
AI-First QA: Building Smarter Software Testing Workflows
By Sanya Khetarpaul on Jul 21, 2025 3:08:24 PM
Even after crossing the beta testing phase, QA teams find themselves stuck in long testing cycles, putting in tens of hours of manual effort before the software or a feature is ready for release. At this point, quality assurance becomes more than a checkpoint; it is the deciding factor between a successful launch that entices users and one that is forgotten.
According to a report by Gitnux, Enterprises using AI for testing have reduced their test script maintenance efforts by 65%, resulting in faster releases and more dependable software.
What is Continuous Deployment in DevOps?
By Nikita Sachdeva on Feb 5, 2024 10:00:00 AM
There are some key DevOps practices that enable organizations to automate and streamline the software development processes. Continuous Integration and Delivery (CI/CD), Continuous Deployment, Microservices, Infrastructure as Code (IaC), Containerization, Monitoring & Logging are a few of them.
13 Best Tools for Load Testing (Open Source) in 2024
By Nikita Sachdeva on Jan 31, 2024 3:00:00 PM
Load testing is a subset of performance testing that checks a system for its availability and response time during a concurrent load of users. It ensures that an application can handle the load without compromising performance.
How TestOps is Transforming the Future of Software Testing?
By Nikita Sachdeva on May 17, 2023 10:15:00 AM
With the rise of digital platforms and the increasing demand for online services, companies are now under pressure to deliver high-quality software products at lightning speed. However, traditional approaches are no longer enough to ensure the desired level of quality. This is where TestOps swoops in as the key solution to address this challenge.
Software Testing Services: Understanding User Acceptance Testing (UAT)
By Archna Oberoi on Aug 9, 2022 3:50:00 PM
In an SDLC, there are several testing frameworks that help to assess if the application is progressing in the right direction. It could be in terms of usability, security, compatibility, performance, integrations, etc.
Top 10 Essential Software Testing Metrics For Enterprises
By Allen Victor on Jul 4, 2022 1:27:03 PM
Organizations whose bottom line depends on quality software development need a robust methodology in place to assure bug-free product delivery for their clients. They must integrate a means to monitor the productivity and quality of software testing with a standard set of appropriate software testing metrics.