Testing, Tools, and Frameworks Resources

One of Waterfall's Most Resilient Artifacts

Learn about why QA-as-a-phase persists, the costs it creates, and how teams can transition to continuous quality across the software development lifecycle.

July 24, 2026

by Stelios Manioudakis

CORE

· 4,139 Views · 4 Likes

API Testing Frameworks: How to Pick the Right One and Actually Use It Well

Learn how to choose the right API testing framework, including REST Assured, Supertest, pytest, Postman, Karate, and Keploy, for better API test automation.

July 23, 2026

by Himanshu Mandhyan

· 3,343 Views · 2 Likes

How to Build a Solid Test Pipeline in the Era of Agentic AI Development

Learn to build a strong testing pipeline to ensure code quality, as in enterprises today most code is generated by AI agents at a huge volume and scale.

July 22, 2026

by Sai Rakshit Yerram

· 5,667 Views · 3 Likes

Reducing CI Execution Time Using Impact-Based Test Selection Across Repositories

CI optimization using Git diff and JGit to selectively run impacted Karate tests, reducing regression execution while preserving safe fallback coverage.

July 21, 2026

by Raakesh Rajagopalan

· 4,156 Views · 1 Like

Green Unit Tests Are a Comfort Blanket

A green test suite checks only the inputs you imagined. Point Hypothesis at a parser and it finds the garbage you did not, before production does.

July 20, 2026

by Mikhail Golikov

· 1,861 Views · 2 Likes

Most Automation Failures Aren’t Bugs — They’re Boundary Problems

Most failures aren’t bugs — they’re broken assumptions between systems. Focus on boundaries, not just code, to debug faster.

July 16, 2026

by Gayathri Bolineni

· 3,382 Views · 5 Likes

AI Agent Harness Lock-In: 5 Portability Tests to Run Before You Commit

Five harness portability tests — memory, tools, skills, orchestration, and governance — that reveal what you trade when committing to an AI agent platform.

July 16, 2026

by Deneesh Narayanasamy

· 3,102 Views · 1 Like

Does 100% Code Coverage Mean Tested?

Learn why 100% code coverage doesn't guarantee software quality, and how behavior coverage and mutation testing provide more meaningful testing insights.

July 15, 2026

by Stelios Manioudakis

CORE

· 4,221 Views · 2 Likes

Do We Test Just to Find Bugs?

Framing testing as just a bug-finding activity results in a number of consequences that this article discusses.

July 14, 2026

by Stelios Manioudakis

CORE

· 4,357 Views · 3 Likes

AWS Glue ETL Design Principles for Production PySpark Pipelines

Learn eight AWS Glue ETL design principles for building production PySpark pipelines that are maintainable, scalable, observable, and cost-efficient.

July 14, 2026

by Janani Annur Thiruvengadam

CORE

· 3,858 Views · 3 Likes

Performance Testing RAG Applications: Complete Engineering Guide

In this blog post, we will see how to perform a performance test on a retrieval-augmented generation (RAG) application properly, covering both speed and correctness.

July 13, 2026

by NaveenKumar Namachivayam

CORE

· 3,557 Views · 2 Likes

Azure Databricks vs Microsoft Fabric: An Honest Guide to When to Use What

Azure Databricks and Microsoft Fabric overlap, but they're built for different priorities. Databricks for data engineering, ML, open-source, and Spark workloads.

July 9, 2026

by Jubin Soni, FBCS

CORE

· 5,101 Views · 2 Likes

Reading Playwright Traces When Browser Automation Fails

When browser automation fails, the thrown error is usually three steps removed from the actual cause. Treat the Playwright trace as the source of truth.

July 8, 2026

by Cornelius Renken

· 1,780 Views · 1 Like

How We Know What We Know

Testing produces evidence, evidence becomes feedback, and feedback helps us make decisions — even as AI reshapes how code is written and tested.

July 7, 2026

by Stelios Manioudakis

CORE

· 4,071 Views · 3 Likes

Azure Databricks for Scalable MLOps and Feature Engineering With Apache Spark, Delta Lake, and MLflow

A practical guide to feature engineering at scale with Azure Databricks, covering distributed data processing with Spark and reliable storage with Delta Lake.

July 6, 2026

by Jubin Soni, FBCS

CORE

· 6,313 Views · 2 Likes

Why AI-Generated Code Is Making Regression Testing More Important, Not Less

AI-generated code introduces integration failures that spec-based tests cannot catch. Regression testing grounded in real production behavior is the fix.

July 1, 2026

by Sancharini Panda

· 2,226 Views · 1 Like