AI
Survey Surfaces Significant Levels of IDP Investment to Reduce SDLC Friction
A survey of 954 IT decision-makers suggests more resources are now being allocated to reducing friction across the software development lifecycle (SDLC). Conducted by CDW, the survey finds more than two-thirds of ...
Survey Sees AI Driving DevOps Productivity Gains Despite Challenges
A global survey of 636 software development professionals published today finds nearly two-thirds (64%) believe they are achieving at least a 25% increase in developer velocity and productivity using artificial intelligence (AI) ...
Mistral Moves Coding Agents to the Cloud — and Gets Out of Your Way
Mistral's latest release shifts AI-assisted development from your laptop to the cloud. Here's what that means for development teams ...
Incredibuild Unveils Islo Sandbox to Isolate AI Coding Agents
Incredibuild this week developed a sandbox, dubbed Islo, that makes it possible to safely run artificial intelligence (AI) coding agents. Company CEO Shimon Hason said Islo provides an isolated execution environment that ...
Cursor’s New SDK Turns AI Coding Agents Into Deployable Infrastructure
Tom Smith | | agent control plane, AI coding agents, autonomous pull requests., CI/CD agent pipelines, Cloud execution sandboxing, Composer 2 model, Cursor SDK, devops automation, MCP integration, Model Context Protocol, Multi-agent workflows, Programmatic code generation, semantic search indexing, software lifecycle engineering, TypeScript SDK for AICursor's TypeScript SDK lets teams invoke AI coding agents programmatically from CI/CD pipelines, with sandboxed VMs, MCP support, and token-based pricing ...
Arm Adds Free Toolkit to Analyze AI Agent Performance
Arm this week made available a free toolkit for analyzing agentic artificial intelligence (AI) workloads as they are being developed by DevOps and platform engineering teams. Earlier this year, Arm unveiled a ...
IBM Bob Takes AI Coding Assistants to the Next Level
IBM Bob goes beyond AI-assisted coding to support the full software development lifecycle — with governance, security, and multi-model orchestration built in ...
Documentation is Dead. Long Live Documentation.
Avi Cavale | | AI tools, developer productivity, documentation, engineering culture, knowledge managementWhy traditional documentation fails and how capturing knowledge during work creates a living, scalable system of record ...
Google CEO Says 75% of New Code is AI-Generated
Jon Swartz | | AI agents, AI coding, Claude Code, google, Google DeepMind, Google Gemini, Meta Platforms, microsoft, Snap, Stanford University, Sundar PichaiThe era of the "human-only" software engineer is rapidly receding into the rearview mirror. Google CEO Sundar Pichai revealed Wednesday that a whopping 75% of the company’s new code is now generated ...
AIOps Isn’t Optional Anymore: What Modern DevOps Teams Must Adapt To
Michael Chukwube | | AIOps, devops automation, incident response, machine learning operations, observabilityAIOps is becoming essential for DevOps teams, enabling faster incident response, less alert noise and improved reliability at scale ...
The Vibing Continuum: How Software Will Vibe its Way Through Agentic Engineering
Nagendra Rao | | Agentic Engineering, AI agents, AI-assisted coding, Codex, Dark Software Factory, Future of Programming, Junior Engineer Training, Outcome-Focused Engineering., Replit, software development lifecycle SDLC, Technical Orchestration, vibe codingExplore the philosophical and practical shift from traditional programming to "vibe coding" and agentic engineering, where software is increasingly spoken into existence rather than written line-by-line ...
5 Facts About AI Coding Agents from Comprehensive Benchmarking
Graham Neubig | | AI coding agents, benchmarking, developer tools, Large Language Models, software developmentAI coding agents are becoming more capable, but evaluating them is harder than it looks. Most benchmarks focus on a single dimension of agent capabilities; for instance, the popular SWE-Bench benchmark only ...
