Tag: AI coding
US District Court Decision in AI’s Favor Worries Open-Source Developers
A federal appeals court handed GitHub, Microsoft, and OpenAI an important win in the first major appellate ruling over how AI coding tools can use open-source code. As we all know, all ...
Factory Raises $200M as It Builds Agents Across the Software Lifecycle
Jaime Hampton | | AI agents, AI coding, AI Software Engineering, devops, factory, generative AI, software developmentEnterprise coding agent startup Factory announced it has raised $200 million at a $5 billion valuation, more than tripling its valuation from its last funding round five months ago. Founded in 2023, ...
GitHub Widens the Door on Advanced Security Trials
Tom Smith | | AI coding, application security, CodeQL, Developer Security, devsecops, exposed credentials, GHAS, GitHub Advanced Security, GitHub Code Security, GitHub Enterprise Cloud, GitHub Secret Protection, GitHub security, mid-market security, Repository Security, secret scanning, secure software development, Software Supply Chain Security, vulnerability scanningGitHub raised its self-serve Advanced Security trial cap from 100 to 300 licenses, letting more mid-size Enterprise Cloud orgs test for free ...
Atlassian Aims to Fill Context and Governance Gap for AI Coding Agents
Atlassian today extended the capabilities of its portfolio to provide teams of artificial intelligence (AI) coding agents with the level of context needed to build and deploy applications in production environments at ...
AI Has Turned Verification Into the New DevOps Bottleneck
Alan Shimel | | AI agents, AI code generation, AI code review, AI coding, AI evaluation, AI in DevOps, CI/CD, continuous delivery, developer experience, developer productivity, devops, devops automation, platform engineering, pull requests, Release engineering, software delivery, software pipelines, The Great UnificationThe next DevOps challenge is not generating more software. It is proving, quickly and repeatedly, that a growing volume of machine-generated change is fit to ship ...
GitHub Puts Copilot in the Approval Seat for Pull Requests
Tom Smith | | AI code review, AI coding, AI Governance, automated code review, branch protection, code review, Copilot code review, developer productivity, developer tools, devops, Engineering Governance, github, GitHub approvals, GitHub Copilot, PR approvals, pull requests, software development, software lifecycleGitHub Copilot can now submit binding pull request approvals, moving AI code review from advisory feedback into the merge decision itself ...
Debian’s AI Vote Bets on Accountability Instead of a Ban
Tom Smith | | AI coding, AI Governance, AI policy, AI-assisted development, AI-generated code, code review, confidential data, Debian, developer productivity, devops, generative AI, Human Oversight, open source, software development, software securityDebian’s new AI contribution policy avoids bans and mandatory disclosure, instead making developers responsible for reviewing AI-generated work and protecting sensitive data ...
Broadcom Launches TrueSource Service to Secure Spring Framework
Mike Vizard | | AI coding, Apache Tomcat, application security, Bitnami Secure Images, Broadcom, container security, dependency security, devsecops, java, kubernetes, node.js, open source security, open source vulnerabilities, patch management, Python, SBoM, secure software development, software artifacts, Software Supply Chain Security, Spring framework, Spring Security, Tanzu, TrueSource Trusted Artifacts, VMware explore, vulnerability managementBroadcom launches TrueSource Trusted Artifacts to provide hardened Spring dependencies, secure open source packages and automated vulnerability remediation ...
Cybersecurity Researchers Uncover Flaw in Google AI Coding Tool
Cybersecurity researchers from Pillar Security this week revealed how a prompt injection inserted into a GitHub repository was used to gain Editor-level access to an internal Google Cloud project using a flaw ...
Waterfall 2.0: Controlling LLM-Driven Software Development with Stage-Gated Discipline
Georgy Starikov | | ADRs, Agile vs Waterfall, AI coding, AI development lifecycle, AI Software Engineering, AI-assisted engineering, architecture decision records, combi-shaper, engineering workflows, generative AI development, knowledge corpus, LLM engineering, LLM software development, MCP, Model Context Protocol, software architecture, software testing, system design, Waterfall 2.0Waterfall 2.0 reimagines classic stage-gated software development for the LLM era, combining fast AI generation with structured validation, cheap backtracking and a shared knowledge corpus ...
GitHub Hit by Widespread Outage, Halting Work for Global Developers
Jon Swartz | | AI coding, Anthropic, API, cloudbees, Cursor, Downdetector, error rates, github, GitHub Actions, GitHub Copilot, GitHub outages, microsoft, Microsoft Teams, OpenAI, SAML, service monitoring forums, Social media, Team SyncA major technical outage struck GitHub on Monday morning, disrupting workflows for millions of developers worldwide for several hours as critical services, automated testing pipelines, and artificial intelligence (AI) coding tools suffered ...
The Verification Gap Behind Every AI-Generated Release
Sauce Labs CEO Prince Kohli joins Mike Vizard to unpack why AI code generation is racing ahead of testing — and why 80 percent of organizations have already traced a production incident ...
