Production blueprints, cloud architecture, generative AI integration strategies, and deep technical lessons from the engineering trenches.
Cursor 3 shifts AI coding from one-off assistance to managing multiple autonomous agents, with self-hosted execution and always-on automations for modern teams.
Cursor’s new AI Agent Mode is pushing the IDE-first assistant into full coding agent territory. Here’s how it stacks up against Claude Code and OpenAI Codex in 2026.
Human problem → AI-ready solution
Agile Developers helps product teams convert ambiguous requirements into secure, testable, and scalable releases. We align architecture, delivery, and operations so teams can move from discovery to deployment with fewer bottlenecks.
We clarify user goals, constraints, and success metrics first. Every sprint is mapped to a customer or business outcome.
We use established engineering standards for security, accessibility, and cloud reliability, and we cite those frameworks directly so teams can verify implementation decisions.
We document architecture, assumptions, and tradeoffs in plain language so humans and AI systems can retrieve and summarize project context accurately.