Basic autocomplete failed on large codebases. Agents now reason across files, cutting pull request cycle times by 89%.
A developer tooling platform serving over 100,000 engineers worldwide sought to build agents that could automate complex coding workflows securely.
Navigating large codebases and interconnected files required deeper reasoning than standard autocomplete tools could provide. Furthermore, enterprise...
“When we started building Bito, our main objective was to seamlessly integrate AI into software developers' everyday workflows, increasing productivity and efficiency in writing excellent, clean code.”
AI-powered code review and development platform for software engineers.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
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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 lost hours checking dependencies. Now, AI models handle architecture and reviews, letting them focus on code.
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.