Tag: AI coding tools
JetBrains Open-Sources KotlinLLM, a Research Prototype for Runtime Code Generation
Tom Smith | | agentic AI, AI coding tools, Apache License 2.0, asLlm, generative AI, IntelliJ IDEA plugin, JetBrains Research, Kotlin, Kotlin/JVM, KotlinLLM, LLM-generated code, mockLlm, persistent code generation, reviewable AI code, runtime code generation, Smart macros, software development, statically typed programmingJetBrains open-sources KotlinLLM, letting compiled Kotlin apps generate and persist LLM-written code at runtime instead of calling a model live ...
AI-Assisted Development Under Deadline: What It Takes to Ship Production Code on an Unfamiliar Stack
Ihor Riazantsev | | AI code risk, AI coding tools, AI-assisted development, AI-generated code, Claude Code, code consistency, code review, devops teams, engineering discipline, feature isolation, manual testing, memory leak debugging, Next.js development, production readiness, production validation, production-ready code, rapid feature delivery, React development, software architecture, software engineering judgment, technical debt, TypeScript development, unfamiliar codebaseHow Claude Code accelerated development on an unfamiliar stack while proving that production-ready AI-generated code still requires human judgment ...
AI Moved the Bottleneck From Writing Code to Understanding and Trusting It
Ted Julian | | AI code generation, AI code security, AI coding tools, AI investment ROI, AI-generated code, application security, automated code review, code quality, code review, codebase visibility, compliance, dependency risk, developer productivity, devsecops, Engineering leadership, engineering metrics, engineering ROI, production incidents, pull request review, SCA, software composition analysis, software delivery, software development productivity, software governance, technical debtAI coding boosts velocity, but without stronger review, governance and codebase visibility, teams risk higher costs, security gaps and production failures. TL;DR ...
Anthropic Adds Enterprise Gateway to Simplify Claude Code Access on AWS and Google Cloud
Tom Smith | | AI coding tools, AI Governance, cost control, Enterprise AI, Google Workspace, identity management, OTLP, policy enforcement, self-hosted gateway, single sign-on, spend caps, spend management, SSO, telemetry, usage trackingAnthropic's new Claude apps gateway brings SSO, central policy, and spend caps to Claude Code on Amazon Bedrock and Google Cloud ...
Anthropic Brings Live, Shareable Artifacts to Claude Code
Anthropic adds live, shareable Artifacts to Claude Code, allowing teams to view AI coding sessions as real-time, interactive pages ...
GitLab Previews Revamped DevOps Platform for the Agentic AI Era
Mike Vizard | | Agentic Workflows, AI agents, AI coding tools, AI governance framework, context graph, devops, devsecops, Git protocol, gitlab, GitLab Flex, GitLab Orbit, software lifecycle engineering, Transcend 2026At Transcend 2026, GitLab launched updates to optimize its DevOps platform for AI-generated code, featuring Next Gen Source Code Management, GitLab Orbit, and an AI Governance framework ...
GitHub Takes Down 73 Microsoft Repos After Miasma Worm Attack
Tom Smith | | AI coding tools, credential harvesting, Cybersecurity, developer environment, GitHub breach, IDE vulnerabilities, Miasma worm, Microsoft Azure, Shai-Hulud malware, Software Supply Chain SecurityGitHub pulled 73 Microsoft repositories offline after the self-replicating Miasma worm weaponized IDEs and AI coding tools to harvest developer credentials ...
1Password Allies With OpenAI to Secure Codex AI Coding Tool
Mike Vizard | | AI coding tools, credential security, devsecops, just-in-time credentials, MCP Server, Model Context Protocol, secrets management, Software Supply ChainDevSecOps teams can now manage coding agents as a tenant rather than another vault where secrets might be stored, ensuring credentials are never exposed to an AI agent or LLM as plain ...
Survey Surfaces Multiple Challenges Measuring AI Coding Productivity
Mike Vizard | | AI coding tools, AI slop, code review, developer burnout, developer productivity metrics, Harness survey, software engineering, technical debt, token-maxxingA Harness survey reveals that while 89% of organizations see AI boosting developer productivity, a third of the workday is consumed by untracked AI tasks like fixing bugs, code reviews, and managing ...
Eclipse Foundation Unfurls Managed VSX Registry Service
Mike Vizard | | AI coding tools, AWS, Cursor, Eclipse Foundation, google, infrastructure funding, managed services, open source, Open VSX Registry, scalability, software engineering, VS Code extensionsThe Eclipse Foundation launches a paid Open VSX Managed Registry to help industry partners sustainably fund the infrastructure behind VS Code extensions ...
Waydev Adds Ability to Track How Much AI Code Winds Up in Production
Mike Vizard | | AI agent tracking, AI coding tools, Alex Circei, code quality validation, DevOps ROI, DevOps workflow automation., engineering intelligence, software engineering metrics, WaydevWaydev revamps its engineering intelligence platform to track AI coding tool ROI, helping DevOps teams measure code quality, acceptance rates, and costs ...
AI Won’t Replace Developers—But it is Changing How They Work
Manoj M Chambarge | | AI coding tools, AI-assisted coding, developer productivity, GitHub Copilot, software developmentAI is reshaping software development by accelerating coding, testing and reviews while reinforcing the need for human judgment and oversight ...
