ClaudeCode

Anthropic × Infosys: Building AI Agents That Can Actually Pass the Regulatory Exam When a Silicon‑valley‑born AI lab teams up with an Indian‑grown consulting giant, the result isn’t just another “AI‑for‑business” press release. It’s a test of whether we can finally get generative models to play nicely with the rulebooks that keep our banks, phone networks, and factories from blowing up. Why This Partnership Matters (Even If You’re Not a Tech Exec) Imagine you’re trying to teach a rookie chef how to run a five‑star kitchen. You can hand them a recipe book (the “model”), but unless they understand the health‑code inspections, the timing of a service rush, and the quirks of your particular stove, that book is useless. ...

You know that feeling when you’re deep in a coding session, and your brain is juggling seventeen different things at once? You’re trying to fix a bug, but you also need to review some code, run tests, and maybe figure out why that one API endpoint is acting weird. It’s like being a one-person orchestra where everyone’s playing a different song. Well, Claude Code just handed us a solution that feels almost too obvious in hindsight: subagents. Think of them as specialized mini-Claudes that you can spin up for specific tasks, each with its own expertise and memory space. It’s like having a team of expert consultants you can call in whenever you need them, without them stepping on each other’s toes. ...

Building an AI software development team with Claude Code agents Claude Code’s multi-agent architecture represents a fundamental shift from AI-assisted coding to AI-driven development, where specialized subagents work in parallel like a virtual engineering team. Since its February 2025 launch and September 2025 2.0 release, Claude Code has evolved from a terminal tool into a sophisticated orchestration platform that now generates over $500M in annualized revenue. For developers looking to build artificial software teams, understanding Claude Code’s agent/subagent system—and how it differs from competitors like GitHub Copilot and Cursor—is essential to leveraging this paradigm effectively. ...