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10 essential Scrum Master skills in 2025
From sprint planning to servant leadership, Scrum Masters help Agile developers, product owners and other team members perform at their best. Here's what makes a good Scrum Master.
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Types of software requirements
Requirements fall into three categories: business, user and software. See examples of each one, as well as what constitutes functional and nonfunctional software requirements.
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Understanding the fundamentals of LLM observability
LLM observability involves specialized monitoring to enhance performance, debugging and cost management. Learn to use the five pillars of LLM observability to manage AI deployments.
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5 SMART goals for a QA analyst
QA testers can gain peer respect and influence through SMART goals. Take ownership of the software you work on, look up to good product managers and achieve these five goals.
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Testing Tools & Techniques Get Started
Benchmarking LLMs: A guide to AI model evaluation
LLM benchmarks provide a starting point for evaluating generative AI models across a range of different tasks. Learn where these benchmarks can be useful, and where they're lacking.
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Test Types Get Started
Positive vs. negative testing: Differences and examples
Take an in-depth look at positive and negative testing. Learn how to use both to form the basis of a thorough testing approach through a series of real-world examples.
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Team Structure & Skills Manage
10 essential Scrum Master skills in 2025
From sprint planning to servant leadership, Scrum Masters help Agile developers, product owners and other team members perform at their best. Here's what makes a good Scrum Master.
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Types of software requirements
Requirements fall into three categories: business, user and software. See examples of each one, as well as what constitutes functional and nonfunctional software requirements.
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Software Design & Development Manage
Guidelines for AI-driven legacy code modernization
AI will not be able to refurbish legacy systems at the push of a button. Still, with proper guidance and oversight, AI tools can speed up code modernization projects.
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Software Development Methodologies Get Started
Understanding the fundamentals of LLM observability
LLM observability involves specialized monitoring to enhance performance, debugging and cost management. Learn to use the five pillars of LLM observability to manage AI deployments.
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Learn how Dell Technologies and Intel can provide you with a step-by-step guide to confidently store your data across your IT ecosystem.
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Static and dynamic code analysis: Complementary techniques
While every programmer wants to deliver high-performing, secure, bug-free and compliant code on the first try, that's not possible. Effective code analysis techniques will help.
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How to choose the best Markdown editor: A 9-tool comparison
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11 tools that facilitate developer productivity
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Comparing low-code vs. traditional development
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Problem Solve
How to fix flaky tests: A practical approach for QA teams
Flaky tests can be frustrating and tempting to ignore. In many cases, you shouldn't. Use this guide to learn which flaky tests to prioritize and how to fix them.
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How to handle root cause analysis of software defects
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How to fix software bugs: Guide and best practices
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How to balance data access and security in fintech testing
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Guidelines for AI-driven legacy code modernization
AI will not be able to refurbish legacy systems at the push of a button. Still, with proper guidance and oversight, AI tools can speed up code modernization projects.
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10 essential Scrum Master skills in 2025
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Types of software requirements
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5 SMART goals for a QA analyst
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Software Quality Basics
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What is Capability Maturity Model (CMM)?
The Capability Maturity Model (CMM) is a methodology used to develop and refine an organization's software development process.
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What is functional testing and how does it work?
Functional testing is a type of software testing intended to ensure that the software behaves as expected and its output meets end user or business expectations.
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Get Started
Understanding the fundamentals of LLM observability
LLM observability involves specialized monitoring to enhance performance, debugging and cost management. Learn to use the five pillars of LLM observability to manage AI deployments.
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Is Scrum a framework or methodology?
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Learn Jenkins: Tutorial for beginners
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Software development lifecycle
Google adds Gemini CLI for GitHub Actions coding agent
The beta version of Google Gemini CLI for GitHub Actions starts simple and builds in security, but overall, the 'honeymoon phase' for coding agents might be ending.
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Software development lifecycle
NimbleEdge proposes cure for on-device AI development pain
The startup lays the groundwork for an ambitious plan to support on-device AI agents that don't require cloud connectivity with the release of a new open source SDK.
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Software design and development
What Amazon Q prompt injection reveals about AI security
Experts say a malicious prompt injection in the Amazon Q extension for VS Code doesn't represent a fundamentally new threat, but reflects how AI amplifies security risks.
Search Software Quality Definitions
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