Refactoring hundreds of decentralized codebases took days. Now, an AI agent writes and submits code in minutes for human review.
A global logistics network operating in 65 countries processing over 11 million daily orders, with thousands of engineers spread across dozens of decentralized regional operations using disparate cloud providers and programming languages.
Centralizing the developer platform caused friction among teams with deeply held preferences for different build systems and infrastructures....
“There's always a certain history and attachment to whatever engineers have at the moment. Convincing everybody that a global developer platform might be a good idea took around a year and a half.”
Global food and grocery delivery platform with quick commerce and Dmarts.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Delivery Hero's Code generation is part of this use case:
Related implementations across industries and use cases
Manual code reviews missed bugs and slowed delivery. AI now drafts pull request summaries and flags missing tests across 15,000 repos.
Scale buried the CTO in review overhead—no production code since the dorm room. Claude Code brought him—and DoorDash—back into production.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Manual code reviews missed bugs and slowed delivery. AI now drafts pull request summaries and flags missing tests across 15,000 repos.
Scale buried the CTO in review overhead—no production code since the dorm room. Claude Code brought him—and DoorDash—back into production.
Complex logistics terms bottlenecked output. AI trained on definitions now drafts posts, helping new hires ramp in three weeks.
Tracking freight required manual portal searches. Now, an AI assistant instantly retrieves real-time shipment data across backend systems.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Refactoring hundreds of decentralized codebases took days. Now, an AI agent writes and submits code in minutes for human review.
A global logistics network operating in 65 countries processing over 11 million daily orders, with thousands of engineers spread across dozens of decentralized regional operations using disparate cloud providers and programming languages.
Centralizing the developer platform caused friction among teams with deeply held preferences for different build systems and infrastructures....
“There's always a certain history and attachment to whatever engineers have at the moment. Convincing everybody that a global developer platform might be a good idea took around a year and a half.”
Global food and grocery delivery platform with quick commerce and Dmarts.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Delivery Hero's Code generation is part of this use case:
Related implementations across industries and use cases
Manual code reviews missed bugs and slowed delivery. AI now drafts pull request summaries and flags missing tests across 15,000 repos.
Scale buried the CTO in review overhead—no production code since the dorm room. Claude Code brought him—and DoorDash—back into production.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Manual code reviews missed bugs and slowed delivery. AI now drafts pull request summaries and flags missing tests across 15,000 repos.
Scale buried the CTO in review overhead—no production code since the dorm room. Claude Code brought him—and DoorDash—back into production.
Complex logistics terms bottlenecked output. AI trained on definitions now drafts posts, helping new hires ramp in three weeks.
Tracking freight required manual portal searches. Now, an AI assistant instantly retrieves real-time shipment data across backend systems.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.