Blog
Notes on running coding agents as a team.
AI Deep Dive: India's E-Commerce Marketplaces
Which parts of a marketplace AI will transform, which it won't, and where the next generation of startups will be built.
AI Isn't Killing IT Services
It's collapsing the delivery pyramid, reshaping where margins accrue, and creating new winners across startups & GCCs.
What Is AI Agent Observability and Why Your Team Needs It
AI agent observability lets you trace every tool call, token, and decision your AI coding agents make. Learn why teams using Claude Code, Cursor, and Kiro need observability to ship faster and reduce costs.
Claude Code vs Cursor: Which AI Coding Agent Performs Better in 2026?
We analyzed 4,280 sessions across Claude Code and Cursor. Here is how they compare on task completion speed, success rate, token efficiency, and cost per feature for engineering teams.
How to Reduce AI Agent Costs by 40% Without Losing Productivity
Practical strategies to cut AI coding agent spend. Stop overpaying for Claude Opus on simple tasks, enable caching, consolidate redundant agents, and route tasks to the right model tier.
How to Evaluate AI Coding Agents: A Practical Scoring Framework
A structured framework for evaluating AI agent performance. Score sessions on accuracy, efficiency, safety, and style. Build scorecards that drive continuous improvement.
Setting Up a Self-Hosted AI Observability Platform in 10 Minutes
Step-by-step guide to running Agentic Resource Registry (ARR), the open source registry and observability platform for AI coding agents: server install, CLI login, session hooks and your first traces.