Tag: AI coding assistants
A Simple Website Summary Just Exposed the Limits of AI Coding Guardrails
Tom Smith | | agentic AI security, AI agent security, AI coding assistants, AI guardrails, AI security, Anthropic, Auto Mode, Claude Code, Claude Opus 5, devops security, indirect prompt injection, Johann Rehberger, network egress, platform engineering, prompt injection, Python module shadowing, RCE, remote code execution, sandboxing, struct.pyClaude Code’s Auto Mode was bypassed in an attack chain that turned a routine webpage summary into remote code execution, highlighting the limits of AI agent guardrails ...
AI Can Generate Your Infrastructure. Can Your CI/CD Pipeline Trust It?
Oreoluwa Omoike | | AI code vulnerabilities, AI coding assistants, AI-generated code, AI-generated infrastructure, Checkov, CI/CD security, Conftest, devsecops, IaC security, infrastructure as code, infrastructure security, Kubernetes security, OPA, platform engineering, policy as code, provenance tracking, secret scanning, secure CI/CD, Terraform security, tfsec, Trivy, TruffleHogAI-generated infrastructure code is exposing a growing security gap, pushing platform teams to add stronger automated gates, provenance tracking and human review before Terraform, Kubernetes and CI/CD changes reach production ...
Your AI Coding Budget Is Becoming a Variable Cloud Bill
Carla Castillo | | agentic coding, AI coding assistants, AI coding costs, AI cost management, AI credits, AI developer tools, AI Governance, cloud economics, cost per developer, developer productivity, devops, engineering spend, FinOps for AI, GitHub Copilot, model mix, platform engineering, premium models, SaaS budgeting, token billing, usage based billingAI coding assistants are becoming a variable, usage-based engineering cost, forcing platform and DevOps teams to apply FinOps practices to models, credits, utilization and multi-vendor spend ...
Adronite Unveils AI Coding Tool Based on Embedded Context Engine
Mike Vizard | | ACE, Adronite, Adronite Context Engine, AI code generation, AI coding assistants, AI coding tool, AI-generated code, code review, codebase context, Codistry, developer tools, devops, open-weight AI models, software development, token efficiencyAdronite launches Codistry, an AI coding tool that uses a context engine to map codebases, reduce token usage and generate more production-ready code ...
Are LLMs Equally Good (or Bad) at Building Secure Software?
Pieter Danhieux | | agentic AI, AI agents, AI code security, AI coding assistants, AI coding costs, AI coding models, AI Development, AI model benchmarking, AI-generated code, application security, Developer Security, framework security, LLM security, OWASP Top 10, SAST, secure code generation, secure coding, software development, software security, token costsAn SCW study finds a large variance in how frontier and budget LLMs perform across different frameworks, and explains the striking cost variance ...
Validation Debt That Your Dashboards Are Not Showing
Saqib Jan | | AI coding assistants, devops, Enterprise AI, software quality, software testing, validation debtThe gap between how fast AI writes code and how reliably teams verify it is quietly becoming a balance-sheet risk. Enterprise leaders are learning to measure it before it forces repayment. Every ...
AI Agents Are Writing Your Infrastructure Code. Is Anyone Governing It?
Neel Shah | | agentic infrastructure, AI agent governance, AI coding assistants, AI-generated infrastructure, cloud misconfiguration, cloud security automation, continuous drift detection, devops security, IAM misconfiguration, infrastructure as code security, infrastructure compliance, infrastructure guardrails, Kubernetes security, platform engineering security, policy as code, RBAC for AI agents, secure-by-default platforms, SRE governance, StackGen Aiden, Terraform securityAI agents now generate infrastructure code at scale, but security pass rates are stuck at 55%. Here’s how teams can close the governance gap ...
The Next DevOps Bottleneck: When AI Generates More Software Than Organizations Can Manage
The organizations that benefit most from AI will probably not be the ones generating the largest amount of code. They will be the ones who build systems capable of managing software at ...
Attackers Exploit SimpleHelp Flaw to Steal Info from AI Coding Assistants, Clouds
Jeff Burt | | AI coding assistants, Anthropic Claude Security, Blackpoint Cyber, Cloud accounts, cryptocurrency, Djinn Stealer, Google Gemini, information stealer, OpenAI Codex, RMM software, SimpleHelpThreat actors are exploiting a known security flaw in the SimpleHelp remote monitoring and management (RMM) software to drop two previously unknown pieces of malware that can compromise a broad range of ...
AI-Generated Apps Without DevOps: A Security Disaster Waiting to Happen
Sannan Ali | | AI coding assistants, application security, CI/CD security, devops, Software Supply ChainA small internal tool was built over a weekend. An engineer used an AI coding assistant to generate most of the backend. A simple interface was added, a few API calls were ...
Lightrun: IT is in the Dark Over Coding Assistant Runtime Visibility
Adrian Bridgwater | | AI coding assistants, AI-generated code, AI-Powered Engineering, AI-SRE Tools, Application Performance Management (APM), automated remediation, Autonomous Engineering, developer productivity, Lightrun, Manual Debugging, Memory Usage, Observability Stacks, platform engineering, Production Failures, Real-Time Data, Redeploy Cycles, root cause analysis, Runtime Visibility, Site Reliability Engineering (SRE), software reliability, State of AI-Powered Engineering Report 2026, Static Code Generation, System Behavior, tribal knowledge, Variable States, Verification BottleneckSoftware runs, but sometimes it doesn’t… and that’s often down to a lack of runtime visibility in relation to platform engineering teams being able to trust coding assistants and AI-powered site reliability ...
Google Launches Developer Knowledge API to Give AI Tools Access to Official Documentation
Tom Smith | | AI coding assistants, AI-assisted development, API Integration, API reference entities, automation, content source of truth., current best practices, Developer Knowledge API, development workflows, devops teams, Firebase, Google Cloud, implementation guidance, knowledge transfer, language models, Markdown retrieval, MCP Server, Model Context Protocol, official documentation, outdated documentation, programmatic access, real-time information, reliable AI assistance, security and trust, structured content support, troubleshootingGoogle's new Developer Knowledge API and MCP server provide AI assistants with direct access to up-to-date Google developer documentation ...
