Tag: software quality
Anthropic Code Review Dispatches Agent Teams to Catch the Bugs That Skim Reads Miss
Tom Smith | | AI code review, AI coding agents, Anthropic Code Review, Claude Code, Code Review Automation, developer productivity, devops, Engineering Velocity, GitHub integration, Logical Bug Detection, multi-agent systems, Pull Request Automation, secure software development, software quality, software reliabilityAnthropic Code Review dispatches agent teams to find bugs in PRs. Multi-agent analysis, severity ranking, and inline fixes for Teams and Enterprise ...
The Future of AI in Software Quality: How Autonomous Platforms are Transforming DevOps
Igor Kirilenko | | agentic AI, CI/CD pipelines, devops automation, software quality, static analysisAgentic AI is transforming DevOps by embedding autonomous quality checks into CI/CD pipelines, improving code security, coverage and speed ...
Test Automation Strategy for Growing Software Teams
Build a scalable test automation strategy that improves release speed, reduces defects, and supports growing software teams ...
Qodo Adds Multiple AI Agents to Code Review Platform
Mike Vizard | | AI code review, ai copilot, AI-assisted testing, AI-generated code, automated code review, Bitbucket, code review, code review benchmark, defect detection, devops, F1 score, github, gitlab, LLM, memory-enabled agents, multi-agent AI, pull requests, Qodo, software qualityQodo 2.0 adds memory-enabled, task-specific AI agents to its LLM-based code-review platform, improving defect recall and F1 performance to help DevOps scale code quality as AI-generated code rises ...
Beyond the Prompt: A Quality-First Framework for AI-Assisted Engineering
Parthiban Rajasekaran | | agile development, AI-assisted development, Change Failure Rate, Code Review Practices, continuous improvement, Delivery Systems, DevOps practices, engineering teams, Fast Delivery, governance, incident management, kubernetes, mean time to restore, observability, Resilient Systems, Risk-Based Tiering, software quality, technical debtDiscover strategies for managing AI-generated technical debt and maintaining quality in software delivery as engineering teams accelerate their development processes ...
Analysis Surfaces Rising Wave of Software Defects Traced to AI Coding Tools
An analysis of 470 real-world open source pull requests published today finds code generated using artificial intelligence (AI) tools introduces significantly more defects across every major category of software quality, including logic, ...
The AI-Powered Evolution of Software Development
Vishwanath Krishnamurthy | | agentic AI, AI for developers, AI in DevOps, AI in software development, AI productivity tools, AI testing tools, AI-driven coding, AI-native applications, AI-powered development, AI. analytics, autonomous software operations, code optimization, devex, Future of Software Engineering, GitHub Copilot, intelligent automation, machine learning, OpenAI Codex, predictive maintenance, software qualityArtificial intelligence is revolutionizing software development—accelerating coding, improving quality, and enabling autonomous operations. From GitHub Copilot to AI-driven DevOps, businesses leveraging AI tools are building smarter, faster, and more adaptive applications ...
Why Automation Fails Without the Right QA Mindset
Imtiaz Shaik | | CI/CD Automation, continuous testing, devops best practices, DevOps Testing, Exploratory Testing, human-in-the-loop QA, QA mindset, QA vs automation, quality assurance strategy, regression testing, risk-based testing, shift-left testing, software quality, test automation, test maintainability, user experience testingIn the DevOps world, with its faster release cycles and continuous delivery, quality assurance (QA) cannot be sidelined until the end of the process. Companies that actively use automation achieve up to 60% faster ...
CodeRabbit Adds CLI Support to Code Review Platform Based on AI
Mike Vizard | | AI code review, AI coding tools, AI in DevOps, AI trust layer, CLI support, code dependencies, code graph analysis, custom pre-merge checks, developer productivity, DevOps workflows, Git repositories, MCP client, Model Context Protocol, open source code review, secure code review, software quality, unit test generationCodeRabbit expands its AI-powered code review platform with CLI support, auto unit test generation, custom pre-merge checks, and an MCP client. Backed by $60M in new funding, CodeRabbit helps developers catch routine ...
How DevOps Services Improve Software Delivery and Quality
Vinay Pasilkar | | CI/CD pipeline, continuous deployment, continuous integration, devops automation, DevOps services, software delivery, software qualityIf you use DevOps services, you will see faster releases and better code. Start your DevOps journey today and watch your software improve. ...
Your AI Might be Lying to You
Don Macvittie | | ai, artificial intellegence, automation, code quality, generative AI, software quality, tool evaluationSimple tests can demonstrate whether a code generator is actually doing what you ask ...
Harnessing the Power of AI Chatbots for Continuous Testing
Artificial intelligence (AI) is revolutionizing the way we develop and test software, especially with the advent of AI chatbots. These intelligent agents have the potential to streamline and automate continuous testing while ...
