Delivery Hero
Code review
Manual code reviews missed bugs and slowed delivery. AI now drafts pull request summaries and flags missing tests across 15,000 repos.
- AI enabled on 15,000+ GitHub repositories
- 4,000+ developers using AI assistant
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.
Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
Isolated tools bottlenecked remote work. Now, Slack emojis trigger code merges and prototypes launch live in customer calls.
Manual code reviews missed bugs and slowed delivery. AI now drafts pull request summaries and flags missing tests across 15,000 repos.
Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
Rate limits capped geocoding at 2,000 requests/min. A fine-tuned LLM now clears 8,000/min—cutting costs by 80%.
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
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.
Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
Isolated tools bottlenecked remote work. Now, Slack emojis trigger code merges and prototypes launch live in customer calls.
Manual code reviews missed bugs and slowed delivery. AI now drafts pull request summaries and flags missing tests across 15,000 repos.
Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
Rate limits capped geocoding at 2,000 requests/min. A fine-tuned LLM now clears 8,000/min—cutting costs by 80%.
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.