AI
Zencoder Adds OpenClaw Alternative to AI Coding Portfolio
Zencoder today extended its artificial intelligence (AI) agent platform for generating code to include an offering that enables application developers to automate a range of tasks that go well beyond writing code ...
LayerX: Anthropic’s Claude Code Can Easily Be Easily Weaponized
Jeff Burt | | agentic AI guardrails, AI Developers, AI IDE, AI security, Anthropic Claude Code, Anthropic Mythos Preview, LayerX, Project GlasswingLayerX researchers were able to convince the popular AI coding tool to bypass its guardrails and execute malicious instructions ...
Apica Extends Scope and Reach of Platform for Managing Telemetry Data
Apica today updated its Ascent platform to add support for synthetic data that is increasingly being used by artificial intelligence (AI) agents to observe application environments. Version 2.16 of the platform adds ...
VibeCode Meets DevOps: Accelerating Low-Code Innovation
AI-assisted low-code tools like VibeCode speed app development, but DevOps teams must ensure security, quality and CI/CD integration ...
If it Isn’t Code, it’s Just Advice
David Mytton | | AI coding agents, API contracts, audit trails, automated verification, automation vs. advice, CI/CD, code-native, configuration as management, dashboard problem, infrastructure as code, MCP Server, production safety, reproducibility, software development life cycle, software security, spam prevention, UI-driven configuration, unit testing, vendor integrations, version controlIn the world of AI coding, success hinges on code-native solutions that integrate and verify changes directly in the codebase. Many AI tools fail by relying on external dashboards, lacking the reproducibility ...
Is Your AI Agent Secure? The DevOps Case for Adversarial QA Testing
Adversarial QA testing helps validate AI agents under real-world conditions, exposing risks like prompt injection and logic failures ...
AI Won’t Replace Developers—But it is Changing How They Work
Manoj M Chambarge | | AI coding tools, AI-assisted coding, developer productivity, GitHub Copilot, software developmentAI is reshaping software development by accelerating coding, testing and reviews while reinforcing the need for human judgment and oversight ...
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 ...
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 ...
