Tag: AI coding tools
Claude Code’s Temporary Usage Boost Expires Tonight. Here’s What Actually Changes
Tom Smith | | AI agents, AI coding agents, AI coding costs, AI coding tools, AI subscription pricing, Anthropic, CI pipelines, Claude Code, Claude Code usage limits, developer productivity, devops, Fable 5, software development, token limits, weekly usage capsAnthropic’s temporary 50% increase to Claude Code weekly usage limits expires August 19, reducing available capacity for developers and DevOps teams without lowering subscription prices ...
GitHub Copilot’s Latest Update Bets on Model Choice, Not Model Loyalty
Tom Smith | | Agent Plugins 1.0, AI agents, AI coding tools, Claude model switching, Copilot CLI, Copilot Memory, Copilot updates, developer tools, devops, GitHub Copilot, GitHub Copilot models, Kimi K3, MAI-Code-1.1-Flash, Ollama, platform engineering, VS Code 1.133GitHub’s latest Copilot updates add Kimi K3, MAI-Code-1.1-Flash, Agent Plugins 1.0, model switching, CLI improvements, and local Ollama support ...
Developer Resistance to AI Isn’t Fear – It is IdentityÂ
Lukasz Lazewski | | 1000x developer, agentic coding, AI adoption, AI agents, AI code review, AI coding tools, AI Orchestration, AI transformation, AI-assisted coding, AI-generated code, coding with AI, developer accountability, developer experience, developer identity, developer motivation, developer productivity, developer resistance to AI, developer trust in AI, developer workflow, Engineering leadership, Future of Programming, human-AI collaboration, software architecture, software developers, software engineeringDeveloper resistance to AI is less about job loss than a deeper shift from hands-on coding to supervising, validating and orchestrating AI-generated work ...
AI is Coding Us Into a Corner
Charlie Gero | | AI coding tools, AI dependency, AI hallucinations, AI patching, AI-generated code, application security, code review, code vulnerabilities, developer productivity, developer trust, frontier models, future software maintenance, Human Oversight, junior developers, secure coding, software engineering skills, software security, technical debtAI-powered patching and coding is putting us on a track towards a deepening dependency on future frontier models. The modern tools we use today to fix yesterday’s coding problems are quietly creating ...
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 ...
