Devs spent weeks ramping up. A secure AI now maps dependencies instantly, cutting project times from months to weeks.
A software tools provider supports enterprise engineering teams managing millions of interdependent lines of code where single changes can have far-reaching impacts on networking platforms and storage infrastructure.
General-purpose AI models lacked the deep contextual understanding required to work safely within these complex systems. Developers spent weeks...
“Building an AI that's a novice with your software isn't valuable. We wanted to create an AI that becomes an expert in your codebase.”
AI software development platform with codebase-aware agents and autocomplete.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Hidden code dependencies held back onboarding for weeks. AI now maps context instantly, cutting ramp-up to 1-2 days.
Context-blind prompts slowed development. An AI agent now reasons across the full codebase to plan and execute complex tasks instantly.
Ambiguity slowed development cycles. Agents now reason through code reviews and refactors, saving 2,300 hours per client.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.