Building a VCF 9.1 Upgrade Runbook: Testing, Fallback, and Readiness Gates
Guide to building a VCF 9.1 upgrade runbook focusing on testing, fallback, and readiness gates for safe execution.
Guide to building a VCF 9.1 upgrade runbook focusing on testing, fallback, and readiness gates for safe execution.
Explains how to test multi-turn conversations in IBM watsonx Orchestrate using a new open-source Agentic Skill for Bob.
Monthly roundup of 113 tech links covering AI impact, software engineering, and development tools for June 2026.
Explains how checking three examples can prove a polynomial identity, using pentagonal and triangular numbers.
A developer reflects on using Claude Code, noting less coding but more testing and understanding of AI-generated code.
A guide on testing Vue components in the browser without Node.js, using QUnit for integration tests.
Explains why testing needs a seam, not an interface, challenging the common practice of creating interfaces solely for testability.
Learn to test Azure Bicep User-Defined Functions using Bicep Console and Pester for reliable deployments.
Explains why fast code generation requires robust testing, detailing a three-level pull request validation and nightly testing for confidence.
Argues against using data-testid in tests, advocating for role-based selectors to improve accessibility and test maintainability.
Angular Testing Library introduces a new zoneless subpackage for streamlined testing with a simplified API and better Vitest compatibility.
A developer's personal recap and key takeaways from attending the State of the Browser and Web Day Out tech conferences.
A developer reflects on a persistent coding bug in their personal site, questioning if human errors should be called 'slop'.
A developer explains why they switched to Test-Driven Development (TDD) and how it improved their coding process, with a focus on testing inputs/outputs.
A developer explores using Claude Code to generate acceptance tests for a Spring Boot API, assessing the AI's capabilities and test quality.
A guide to systematically evaluating and testing AI agent skills, covering success criteria, building an evaluation harness, and improving skill performance.
A developer details the process of building evaluation systems for two AI-powered developer tools to measure their real-world effectiveness.
A developer shares critical drawbacks of using Claude Code for AI-assisted programming, focusing on hidden issues like problematic test generation and maintenance challenges.
Introduces Skill Eval, a TypeScript framework for testing and benchmarking AI coding agent skills to ensure reliability and correct behavior.
Explains the importance of automated testing for data pipelines, covering schema validation, data quality checks, and regression testing.