Category: community
-

Mock Testing: A Complete Guide for Developers (2026)
Mock testing replaces real dependencies – APIs, databases, third-party services – with simulated objects that return controlled responses. It speeds up test runs, eliminates flakiness from unstable external systems, and makes edge cases like timeouts easy to trigger on demand. The limitation: mocks drift from real behavior over time. Keploy addresses this by capturing real…
-

In-Depth Testing: Stop Shipping Bugs Your Tests Missed
I’ve pushed code that cleared every CI check, watched the green badge appear, shipped to production — and then spent the next two hours on a rollback. That experience was my real introduction to in-depth testing. In-depth testing is the practice of validating software behavior across multiple layers: unit logic, component interactions, end-to-end user flows,…
-

What Is Sandbox Testing? Types, Benefits, and Best Practices (2026)
Sandbox testing is the practice of running tests in an isolated environment that can’t affect production systems or real data. Teams use it to validate new features, test third-party integrations like payment APIs, and simulate failure scenarios safely. When vendor sandboxes drift from their production APIs, tools like Keploy capture real traffic and replay it…
-

Production Testing: Methods, Best Practices & Tools (2026)
Production testing is the practice of validating software in the live environment using real user traffic – not as a replacement for staging, but as an additional layer that catches what no controlled environment can replicate. Done with guardrails like canary releases, feature flags, and rollback plans, it’s standard practice at Netflix, Google, and Meta.…
-

Self-Healing Test Automation: How It Works and How to Implement It
Self-healing test automation detects and recovers from application changes – broken locators, timing issues, schema drift – without manual intervention. Most tools focus only on UI selector healing, but selector failures are just ~28% of real test failures. The rest come from timing, data, runtime, and API schema issues. For schema drift specifically, Keploy detects…
-

What Is API Design? Principles, Best Practices & Patterns (2026)
I’ve seen teams burn weeks untangling API messes that could have been avoided with a couple of days of upfront thinking. Endpoints named inconsistently, versioning added as an afterthought, error responses that just say "something failed" all of it traceable back to the same root cause. Nobody sat down and actually designed the API before…
-

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…
-

Software Release Life Cycle: Stages, Process, and Best Practices
Software release life cycle is the sequence of stages software moves through from development to production: pre-alpha, alpha, beta, release candidate, and general availability. Unlike the SDLC, the SRLC focuses on how software is validated and delivered safely. One distinction modern teams rely on: deployment and release aren’t the same – code can sit in…
-

Automated Regression Testing: A Complete Guide (2026)
Automated regression testing re-runs previously validated test cases after every code change to confirm existing functionality hasn’t broken. The real challenge isn’t running more tests – it’s running the right ones efficiently in CI. With AI coding tools accelerating code output, suites need to grow at the same pace. Keploy addresses this by generating regression…
-

10 Types of API Testing Explained with Examples (2026)
The main types of API testing are functional, integration, load and performance, security, validation, contract, and fuzz testing, each checking a different dimension of how an API behaves. Covering them by hand is slow, which is why teams lean on automation to keep up. Keploy generates tests and mocks across these scenarios straight from real…