Tag: AI software development
The Agent Proposes, the Pipeline Disposes: Controls for AI-Authored Change
Veera Ravindra Divi | | agent permissions, agentic coding, AI change control, AI code review, AI coding agents, AI Governance, AI pull requests, AI software development, AI-authored code, AI-generated code security, autonomous coding agents, bounded-write agents, change-budget gates, CI/CD security, human-in-the-loop, in-toto, independent evals, least-privilege, policy as code, protected paths, provenance attestation, provenance verification, Secure DevOps, signed attestations, Sigstore, SLSA, Software Supply Chain Security, staged autonomyWhen agents write code and open pull requests faster than humans can read them, ‘the diff looked fine’ stops being a control. The durable controls live outside the agent’s reasoning loop ...
Cursor 2.0 Brings Faster AI Coding and Multi-Agent Workflows
Tom Smith | | AI code generation, AI coding assistant, AI coding model, AI developer tools, AI for DevOps, AI IDE, AI programming tools, AI software development, automated code review, Composer model, Cursor update, intelligent code assistant, multi-agent coding, multi-agent development environment, parallel AI agents, semantic code searchCursor 2.0 introduces the Composer AI model and a new multi-agent interface—offering faster coding, smarter context, and seamless DevOps integration ...
Context Engineering is the Key to Unlocking AI Agents in DevOps
Harshil Shah | | AI agents, AI coding tools, AI developer tools, AI IDEs, AI in DevOps, AI software development, AI workflows, AI-Driven DevOps, AI-powered development, context engineering, context provisioning, devops automation, intelligent agents, MCP protocol, SDLC AIAI agents can code, test, and deploy—but only with the right context. Learn how context engineering unlocks DevOps-ready AI for the full SDLC ...
