01

Navigating unfamiliar code

Deep knowledge of systems and architecture that was previously held by a few engineers becomes accessible to the whole team with Claude Code. It searches codebases, traces dependencies, and helps new members get up to speed on projects in minutes.

02

Developing across the whole codebase

Claude Code searches directories to build context and understand how modules connect. It creates and edits files across a codebase, taking on ambitious work like building new features or executing multi-file refactors at a scale, saving days of work.

03

Executing across your toolchain

Developers don't need to memorize commands for git, Kubernetes, or other CLI tools. They describe what they want and Claude Code uses tools like the GitHub CLI natively, running the right commands with the right syntax.

04

Running tests and managing CI failures

When tests fail, Claude Code reads the errors, fixes the code, and runs the suite again until everything passes. It monitors CI pipelines on GitHub and GitLab and commits fixes automatically.

From regulated industries to large-scale codebases, engineering organizations are already changing the way their engineering teams work.

Broad engineering adoption

Stripe deployed Claude Code across 1,370 engineers of all levels through a zero-configuration enterprise binary. One team completed a 10,000-line Scala-to-Java migration in four days, work estimated at ten engineer-weeks.

Faster incident response

Ramp integrated Claude Code into their development workflow and cut incident investigation time by 80%. Non-engineering teams across sales, risk, and finance now query their data warehouse using natural language instead of writing SQL.

Shorter project timelines

Wiz migrated a 50,000-line Python library to Go in roughly 20 hours of active development, a project the team estimated at two to three months of manual work.

Faster time to market

Rakuten reduced the average delivery time for new features from 24 working days to 5. Engineers now run multiple Claude Code sessions in parallel, delegating tasks across the codebase simultaneously.