Tag: AI coding
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 Trusted Artifact Service for 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 ...
AWS Extends DevSecOps Reach to AI Coding Tools from Anthropic and OpenAI
Amazon Web Services (AWS) this week at the Black Hat USA conference revealed it is working with both Anthropic and OpenAI to integrate their respective coding tools with a service it has ...
AWS Adds Agentic Workspace to Kiro AI Coding Tool
Amazon Web Services (AWS) this week added an open source workspace for its Kiro artificial intelligence (AI) coding tool that enables application developers to asynchronously assign tasks to an AI agent that ...
Why Agentic Coding Needs Governance at Scale
CloudBees CEO Moritz Plassnig joins Alan Shimel to explain why agentic coding is exposing every unfinished piece of the DevOps transformation — and why AI-scale delivery needs AI-scale governance ...
Investments in DevOps Tools and Platforms Start to Accelerate in AI Era
A global survey of 839 IT decision-makers conducted by the Futurum Group finds 54% now work for organizations that use AI across more than half of their software development lifecycle (SDLC), with ...
AI-Generated Code Is Cheap But the Context Infrastructure Behind It Is Not
Saqib Jan | | AI coding, context engineering, Enterprise AI, RAG, retrieval-augmented generation, vector databasesThe cost curve for generating code with AI has moved in one direction, and it has moved fast. What used to require a senior engineer's full attention for an afternoon can now ...
SmartBear Tightens Integration Between AI Coding and Testing Tools
SmartBear this week revealed it is narrowing the divide between coding and testing by integrating its platform with artificial intelligence (AI) coding tools. Sheryl Koenigsberg, senior vice president of product marketing at ...
