Tag: AI coding tools
Visual Studio Copilot Gets Planning Mode for Complex Tasks
Tom Smith | | agentic development, AI coding tools, AI for developers, AI-assisted coding, Claude Sonnet 4, Copilot AI, Copilot Planning, Copilot planning benchmark, Copilot planning feature, Copilot preview, DevOps AI tools, GPT-5 Copilot, Intent-Driven Development, Microsoft Copilot, Microsoft developer tools, planning-driven development, software development automation, SWE-bench results, Visual Studio 2022, Visual Studio CopilotMicrosoft launches the Planning feature for Visual Studio Copilot, now in public preview for Visual Studio 2022 17.14. Planning gives developers a structured way to manage multistep coding tasks, improving transparency, performance, ...
How Software Engineers and Students Use AI to Move Faster than Ever (Without Breaking Things)
Vivek Vaidya | | agentic AI, AI adoption, AI and students, AI coding tools, AI collaboration, AI engineers, AI evolution, AI in education, AI in software development, AI in universities, AI innovation, AI revolution, AI skills, AI skills gap, AI startups, AI Tools for Developers, AI transformation, AI workforce adaptation, AI-native companies, AI-native design, AI-native learning, AI-powered development, AI/ML, artificial intelligence, augmented development, augmented intelligence, Cursor, developer productivity, digital transformation, Enterprise AI, future of work, human-AI collaboration, LLMs, machine learning, super{set}, VC investment in AIWe’re living through the AI revolution — or more accurately, the age of augmented intelligence. From agentic AI tools transforming software development to AI-native education shaping the next generation, super{set} explores how ...
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 ...
Empromptu Unveils Vibecoding Platform for Building Enterprise-Class Apps
Mike Vizard | | AI app scalability, AI application development, AI coding platform, AI coding tools, AI developer workflows, AI DevOps, AI output controls, AI response optimization, AI vs low-code platforms, enterprise AI applications, enterprise software development, explainable AI, LLMOps, RAG, retrieval-augmented generation, SOC-2 compliant AI, vibecodingEmpromptu has launched its AI coding platform for building enterprise-class applications, featuring RAG, LLMOps, explainability, and SOC-2 compliance. Designed for scalability, accuracy, and predictable pricing, it aims to outperform vibecoding tools and ...
Can Vibe Coding Work on an Enterprise Level?
Armelle Dawson | | AI coding tools, AI productivity tools, AI-generated code, enterprise AI coding, enterprise AI governance, low-code AI apps, slopsquatting risks, vibe coding, vibe coding risks, vibe coding securityVibe coding promises AI-generated apps in seconds, but is it enterprise-ready? Explore risks, governance needs, and productivity potential ...
Qwiet AI Extends Microsoft Support in Platform for Fixing Vulnerabilities
Mike Vizard | | AI agents, AI coding tools, application security, AutoFix, Azure Boards, Azure DevOps, devsecops, github, SARIF, SAST, software security, Swift, vulnerability remediationQwiet AI extends its AI-driven application security platform with deeper Microsoft DevOps integrations, enhanced automation, and expanded AutoFix capabilities to proactively remediate code vulnerabilities ...
Context Engineering is the Key to Unlocking AI Agents in DevOps
Harshil Shah | | AI agents, AI coding tools, AI developer tools, AI IDEs, AI in DevOps, AI software development, AI workflows, AI-Driven DevOps, AI-powered development, context engineering, context provisioning, devops automation, intelligent agents, MCP protocol, SDLC AIAI agents can code, test, and deploy—but only with the right context. Learn how context engineering unlocks DevOps-ready AI for the full SDLC ...
Sonar Surfaces Multiple Caveats When Relying on LLMs to Write Code
New SonarSource research shows LLMs like GPT-4o, Claude Sonnet 4, and Llama-3.2 produce highly functional yet risky code — with frequent high-severity vulnerabilities, hard-coded credentials, and messy “code smells” that raise long-term ...
Beyond Code Generation: How Asimov is Transforming Engineering Team Collaboration
Reflection AI's Asimov revolutionizes engineering teams by focusing on code comprehension over generation, capturing tribal knowledge and context ...
Cycloid Adds Ability to Customize Components of a Software Stack to DevOps Platform
Cycloid today extended its platform for managing and governing software engineering workflows to provide DevOps teams with more granular control over how stacks of software components are constructed and managed ...
Eclipse Foundation to Release Open Source IDE Infused with AI Agents
The Eclipse Foundation today made available an alpha release of an instance of its open source Theia integrated development environment (IDE), that provides access to artificial intelligence (AI) agents that will automate ...
Sonar Combines SAST and SCA Tools in Single Offer
Sonar today revealed it will at the end of May add an offering that combines its Static Application Security Testing (SAST) tool with the software composition analysis (SCA) tools it gained with ...
