Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
A Japanese technology conglomerate operates over 70 businesses across e-commerce and fintech, employing thousands of developers to manage massive, multi-language codebases.
Existing AI coding tools required constant human guidance and could not navigate the organization's complex architecture. Manual execution of...
“We want to give all our teams the power to innovate quickly and drive greater impact for customers faster. It's about multiplying what each team can achieve, not just automating existing tasks.”
Internet services ecosystem spanning e-commerce, fintech, and telecommunications.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Rakuten Group's Software development is part of this use case:
Related implementations across industries and use cases
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Prototyping tools took weeks of planning. Now, clinical teams generate working mockups in minutes during live meetings to test ideas.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
A Japanese technology conglomerate operates over 70 businesses across e-commerce and fintech, employing thousands of developers to manage massive, multi-language codebases.
Existing AI coding tools required constant human guidance and could not navigate the organization's complex architecture. Manual execution of...
“We want to give all our teams the power to innovate quickly and drive greater impact for customers faster. It's about multiplying what each team can achieve, not just automating existing tasks.”
Internet services ecosystem spanning e-commerce, fintech, and telecommunications.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Rakuten Group's Software development is part of this use case:
Related implementations across industries and use cases
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Prototyping tools took weeks of planning. Now, clinical teams generate working mockups in minutes during live meetings to test ideas.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.