Sandboxed Python wrappers bottlenecked parsing. Claude Code migrated the 50k-line library to Go in 20 hours, doubling production speed.
A cloud security platform with over 2,000 employees scans customer files across diverse environments to identify exposed credentials and sensitive data.
Parsing PDF files required wrapping a legacy Python library in a resource-intensive sandbox, causing performance bottlenecks and inconsistent...
“If you go to Reddit or any other blog, you will see tons of questions like ‘how do I solve this in Go?’ and they will tell you, you can’t.”
Wiz's Codebase migration is part of this use case:
Cloud security platform for unified visibility and risk prioritization.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Fixing security tests meant manual research. Claude now generates precise, copy-pasteable code to resolve violations instantly.
Code fixes piled up in backlogs for months. Now, an autonomous Claude agent generates, tests, and submits validated pull requests.
Deep investigations took months. Now, AI agents reason through evidence and adapt strategies, delivering expert analysis in minutes.
Fixing security tests meant manual research. Claude now generates precise, copy-pasteable code to resolve violations instantly.
Code fixes piled up in backlogs for months. Now, an autonomous Claude agent generates, tests, and submits validated pull requests.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Sandboxed Python wrappers bottlenecked parsing. Claude Code migrated the 50k-line library to Go in 20 hours, doubling production speed.
A cloud security platform with over 2,000 employees scans customer files across diverse environments to identify exposed credentials and sensitive data.
Parsing PDF files required wrapping a legacy Python library in a resource-intensive sandbox, causing performance bottlenecks and inconsistent...
“If you go to Reddit or any other blog, you will see tons of questions like ‘how do I solve this in Go?’ and they will tell you, you can’t.”
Wiz's Codebase migration is part of this use case:
Cloud security platform for unified visibility and risk prioritization.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Fixing security tests meant manual research. Claude now generates precise, copy-pasteable code to resolve violations instantly.
Code fixes piled up in backlogs for months. Now, an autonomous Claude agent generates, tests, and submits validated pull requests.
Deep investigations took months. Now, AI agents reason through evidence and adapt strategies, delivering expert analysis in minutes.
Fixing security tests meant manual research. Claude now generates precise, copy-pasteable code to resolve violations instantly.
Code fixes piled up in backlogs for months. Now, an autonomous Claude agent generates, tests, and submits validated pull requests.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.