Keploy Blog Website
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Best AI Coding Tools in 2025: Top Assistants for Developers
AI coding assistants aren’t here to replace developers. They are here to make our work easier and more enjoyable. These tools help with simple tasks like fixing bugs, formatting code, and cleaning up files. They also support more complex activities like reviewing pull requests, suggesting architecture improvements, and generating reliable test coverage. The most helpful…
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Why Traditional API Testing Fails? Comparing Shadow, Production, Replay Techniques
I want to share the story of how our team at a fast-paced startup tackled the challenge of API testing without any dedicated QA team, the roadblocks that we encountered, and how we ultimately addressed these issues. Baseline Challenge We had 15-day sprints including mandatory unit and API testing. Initially, we relied on automated testing.…
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Why I Switched to Table Driven Testing approach in Go
Unit Testing, specifically table driven tests, have gained significant popularity in recent years due to their ability to eliminate repetition and enhance test clarity and maintainability. By organizing test cases into a structured format, table driven tests provide a systematic way to reuse the same values across different unit testing scenarios efficiently. What is Table…
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7 Principles of Software Testing That Prevent Production Failures
The principles of software testing are the foundation of building reliable software. I’ve seen teams write thousands of test cases and still miss critical bugs in production. The problem is rarely effort – it’s direction. The software testing principles help teams focus on risk, prioritize effectively, and avoid wasted testing effort. Instead of chasing coverage…
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Software Release Life Cycle: Stages, Process, and Best Practices
The software release life cycle (SRLC) is where most engineering failures begin. Not because of bad code, but because of a broken release process. In modern environments, applications run across APIs, microservices, and cloud infrastructure, where even small changes can ripple far. A well-defined release cycle – with clear stages, automated validation checkpoints, and rollback…
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Automated Regression Testing: A Modern Perspective for Developers
Automated regression testing is no longer just about rerunning test cases after every change. In modern systems, it’s about ensuring that rapid releases, distributed architectures, and constant updates don’t silently break existing functionality. As teams move faster, the real challenge is not running more tests, but running the right ones efficiently. What is Automated Regression…
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10 Types of API Testing Explained with Examples (2026)
APIs (Application Programming Interfaces) are the backbone of modern software; they let applications talk to each other, share data, and trigger actions across systems. Before any API goes live, it needs to be thoroughly tested to ensure it works correctly, handles edge cases, performs well under load, and stays secure. This guide covers all major…
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Test Data Management: The Complete Guide for Dev & QA Teams
Test data management is what separates teams that ship confidently from teams that debug mysterious CI failures at 2 AM. If your staging environment has a six-month-old copy of your production database that "nobody touched," you already have a TDM problem — you just haven’t named it yet. Bad test data wastes a significant portion…
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API Testing Strategies: A Complete Guide (2026)
API testing strategies directly impact your release cycle. With 83% of web traffic flowing through APIs, even a single failure can break payments, dashboards, and user experience. Teams that invest in automated API testing do not slow down, they ship faster with confidence. A strong strategy goes beyond checklists. It defines what success looks like,…
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API Testing Services: Solutions, Process, Tools & Best Providers
API testing services help organizations validate API functionality, performance, security, integrations, and reliability across the software lifecycle. These services are typically delivered by QA teams, testing vendors, or automation platforms to ensure APIs work correctly in real-world environments. APIs are no longer just backend infrastructure—they are the backbone of modern digital products. Whether you’re building…
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Benefits of Test Automation That Improve Release Confidence
The benefits of test automation become clear when software teams start releasing faster than they can manually test. Many engineering teams today face the same challenge: delivery speed is increasing, but validating every change manually takes too long. Test automation helps solve this by running tests quickly, catching bugs earlier, and reducing repetitive manual work…
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Software Testing Life Cycle A Complete Guide for Modern QA Teams
Modern software teams ship faster than ever. Releases are frequent, systems are increasingly distributed, and testing environments can be unstable. At the same time, maintaining large sets of manual and automated tests becomes difficult as applications grow. Without a structured approach, testing quickly becomes reactive instead of strategic. This is where the Software Testing Life…
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Boundary Value Analysis (BVA) in Software Testing
Modern applications fail in the smallest places – a login field that accepts 257 characters instead of 256, an API that crashes when quantity becomes 0, or a payment system that allows transactions just $1 above the allowed limit. These are not complex logic failures. They are boundary failures. This is where Boundary Value Analysis…
