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Microsoft Field Engineers Built a Six-Agent Research Pipeline in VS Code That Fact-Checks Its Own Output
Tom Smith | | Agent Handoff Pattern, Azure Kubernetes Service (AKS), Azure Red Hat OpenShift (ARO), Fact-Checking AI, GitHub Copilot Agents, Global Black Belts (GBB), Grounding, MCP Server, multi-agent systems, Project Nighthawk, Technical Research Automation, VS Code Agent SkillsAzure Global Black Belts Diego Casati and Ray Kao developed Project Nighthawk, a multi-agent system that automates deep technical research for AKS and ARO with 100% source-grounding ...
Survey Surfaces Increased Reliance on Open Source Software to Build Apps
Mike Vizard | | AI-Driven Vulnerabilities, Cyber Resilience Act (CRA), DevOps maintenance, DevSecOps best practices, DORA Compliance, Enterprise Open Source Adoption., Open Source Software (OSS), OpenLogic Survey, Software Supply Chain Security, vendor lock-inOpen source adoption is surging, with 49% of IT teams increasing usage. However, 47% of staff spend 75% of their time on maintenance. Explore the impact of AI threats and EU regulations ...
How AI is Shaping Modern DevOps and DevSecOps
AI is reshaping DevOps and DevSecOps by improving CI/CD workflows, DORA metrics and security without adding unnecessary complexity ...
Meta Researchers Show AI Agents Can Verify Code Without Running It — and Hit 93% Accuracy
Tom Smith | | Agentic Code Reasoning, AI coding agents, Code Equivalence Verification, Defects4J Benchmark, DevOps Code Review, Execution-Free Reward Signals, Meta Research, Reinforcement Learning Training, RubberDuckBench, Semi-Formal Reasoning, software lifecycle engineering, static analysisMeta's semi-formal reasoning enables AI agents to verify code without executing it, achieving 93% accuracy. Implications for code review and RL training costs ...
GitHub Adds 37 New Secret Detectors in March, Extends Scanning to AI Coding Agents
Tom Smith | | AI coding agents, automated remediation, Credential Leakage, DeepSeek, devops security, GitHub MCP Server, GitHub Secret Scanning, LangChain, Push Protection, secret detection, Snowflake, Software Supply Chain, Token Validity Checks, VercelGitHub's March 2026 updates introduce secret scanning for AI agents via MCP, 37 new detectors, and expanded push protection. Learn how to secure AI-generated code ...
Developers Using Anthropic Claude Code Hit by Token Drain Crisis
Adrian Bridgwater | | ai, AI coding assistant, Anthropic, automation, Claude Code, CLI Coding, cloud, Developer Velocity, developers, devops, Max Subscription, Prompt Caching, Quota Exhaustion, Token Tracking Bug, Usage LimitsAnthropic’s Claude Code users report Max tier quotas exhausting in under 20 minutes. Explore the "Cache-22" of prompt caching, session limits, and why AI coding "opacity" is stalling developer workflows ...
North Korean Hackers Suspected in Supply Chain Attack on Popular Axios Project
Jeff Burt | | Axios, CI/CD, Google Threat Intelligence Group, JavaScript dependencies, Mandiant, North Korea, remote access trojan (RAT), Socket, sonatype, supply chain attack, TeamPCPThe threat actor targeted a highly popular open source project with more than 100 million weekly downloads, creating a large "blast radius." ...
AWS Makes Pair of AI Agents to Automate DevOps Tasks Available
Amazon Web Services (AWS) today made a pair of artificial intelligence (AI) agents to manage DevOps workflows and conduct penetration tests generally available. Neha Goswami, director of Agentic DevOps at AWS, said ...
Harness Extends CD Platform to Address AI Coding Challenges
Mike Vizard | | AI coding tools, AI-Powered Verification, Automated Rollback, continuous delivery, database devops, DevOps Scale, Harness CD, platform engineering, Release Orchestration, Snowflake Support, software engineering productivity, Warehouse-Native Feature ManagementHarness expands its CD platform to tackle the "AI code explosion" with automated rollbacks, snowflake support, and warehouse-native feature management ...
The Trust Tax Framework: Measuring Developer Confidence in CI/CD Systems
Vignesh Sundaram | | Automated Testing Culture, CI/CD Trust, continuous integration, Developer Experience (DevEx), DevOps metrics, flaky tests, Infrastructure Ownership, Mean Time to Confidence, Override Rate, Re-run Rate, Test QuarantineIs your re-run rate over 30%? Discover the "Trust Tax" killing your DevOps ROI. Learn to manage flaky tests through automatic quarantine, contextual reporting, and cultural shifts ...
Why Governance Determines Whether Agentic AI Accelerates or Stalls Engineering
Eric Paulsen | | agentic AI, Agentic Workflows, AI code review, auditability, Automated Refactoring, Code Completion, Developer Velocity, Engineering Governance, Governance Debt, Parallel Engineering, Risk-based Governance, software development lifecycle SDLCAI coding tools offer rapid productivity gains, but "governance debt" often slows delivery. Learn how to embed risk-based controls and auditability into agentic AI workflows to scale engineering capacity ...
When Customer-Facing Systems Fail: How Incident Response and Observability Reduce MTTR
Samuel Ogbonna | | API Gateway Failures, Customer Experience (CX) Strategy, Digital Stability, Distributed Tracing, incident response, Mean Time to Acknowledge (MTTA), Mean Time to Recovery (MTTR), Microservices Reliability, Observability vs Monitoring, Real-time Infrastructure, service mesh, system resilienceIn a world of microservices and real-time interactions, MTTR is the ultimate metric for brand protection. Learn how observability and resilient architecture drive faster incident response ...
