Latest Articles
FakeGit Targets AI Coding Agents with Malicious GitHub Repos
Jeff Burt | | AgentBaiting, AI coding agents, AI supply chain risk, Anthropic Claude Code, fake repositories, FakeGit, github, Google Gemini, Island, MCP Server, OpenAI ChatGPT, SmartLoader, StealCThreat actors continue to find new ways to incorporate AI into schemes aimed at luring developers into downloading malware from fake repositories. The latest example involves almost 7,600 malicious GitHub repositories that ...
AI-Native Testing Is Now a Core Quality Engineering Discipline
Saqib Jan | | agentic AI, AI-native Testing, Model Context Protocol, Quality Engineering, software testing, test automationPredictions from some of the most prominent voices in the technology industry suggest that software engineering could become increasingly obsolete within a year, jolting the developer community in ways that are still ...
New Copilot Dashboard Shows Enterprises Which Developers Are Actually Using AI — Not Just Who’s Logged In
GitHub's new Copilot dashboard shows enterprises which developers use AI deeply — turning adoption data into a real productivity business case ...
Building Reliable EMR Pipelines With Custom AMIs and Step Functions
The goal is not custom AMIs for every workload. It is to make dependency management, patching and recovery explicit platform responsibilities rather than repeated job-level tasks ...
The Trust Graph: Why Infrastructure Diagrams No Longer Describe Modern Systems
Igboanugo David Ugochukwu | | AI agent security, CI/CD security, GitHub Actions security, IAM governance, identity security, machine identities, non-human identities, OAuth tokens, OIDC federation, platform engineering, reliability engineering, SaaS integrations, secrets sprawl, service accounts, Software Supply Chain, trust amplification, trust bottlenecks, trust cascades, trust graph, workload identityTraditional architecture diagrams miss the identity relationships that now drive breaches and outages. Platform teams need trust graphs that map who and what can act across modern systems ...
OpenAI’s Codex Context Cut Puts Enterprise AI Coding Workflows on Notice
OpenAI quietly trimmed the default input context window for GPT-5.6 inside its Codex CLI, dropping it from 372,000 tokens to 272,000 tokens. That's a 27% cut, and developers noticed fast. The change ...
VS Code 1.129 Moves Agent Sessions Out of the Editor Window
Microsoft has released Visual Studio Code 1.129, and the headline change isn't a new feature so much as a new foundation. The update introduces the agent host, a dedicated process that runs ...
Security Risks from AI Coding Agents Expand Beyond the Sandbox: Pillar
Jeff Burt | | AI code assistants, AI coding agents, AI Developers, AI sandbox, AI security risks, Cursor, Cymulate, Google Antigravity, Google Gemini, OpenAI Codex, Pillar Security, prompt injectionAI coding assistants have become an essential part of developers’ work, automating many of the repetitive tasks – think boilerplate coding and scaffolding – that in the past ate up a lot ...
Signed, Attested, and Malicious: The Software Supply Chain Has a Deepfake Problem
Nigel Douglas | | AI coding agents, AntV packages, behavioural analysis, continuous scanning, dependency security, Developer Security, GitHub Actions compromise, malicious packages, Miasma worm, Mini Shai-Hulud, npm malware, OIDC tokens, open source security, package provenance, package quarantine, policy as code, Red Hat npm attack, registry scanning, Shai-Hulud worm, SLSA provenance, software attestation, Software Supply Chain Security, TanStack compromise, trusted pipeline attacksA developer pulls a package from a reliable repo. It is signed, has provenance, and has been scanned. And then…it contains malware. That is no longer hypothetical. When the Miasma worm tore ...
Zero Trust Starts at the Code: Building Secure Systems with PKI and DevOps Automation
BALA CHANDAR NAGALLA | | certificate lifecycle management, CI/CD security, devsecops, PKI, Software Supply Chain, zero-trustWhen a certificate expires, it can take down a production system, and teams usually only find out after something goes wrong. These issues are hard to catch because they rarely trigger alerts ...
Harness Extends DevOps Reach to the Realm of AI Agents
Harness today extended the reach of its core continuous integration/continuous delivery (CI/CD) platform to enable DevOps teams to build and deploy artificial intelligence (AI) agents. At the core of that capability are ...
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 ...
