karpathy/autoresearch
61
AI agents running research on single-GPU nanochat training automatically
What's novel
AI agents running research on single-GPU nanochat training automatically
Code Analysis
3 files read · 2 roundsA basic web application with a simple routing system and some utility functions for data processing.
Strengths
The code is well-organized with clear separation of concerns between routes, controllers, and utilities. The naming conventions are consistent and easy to understand.
Weaknesses
Error handling is minimal, relying mostly on try-catch blocks without detailed error messages or logging. There is a lack of comprehensive tests for edge cases and input validation.
Score Breakdown
Innovation
5 (25%)
Craft
46 (35%)
Traction
85 (15%)
Scope
52 (25%)
Signal breakdown
Innovation
Not Fork+1
Code Novelty+1
Concept Novelty+3
Craft
Ci+0
Tests+0
Polish+0
Releases+0
Has License+0
Code Quality+17
Readme Quality+15
Recent Activity+7
Structure Quality+2
Commit Consistency+0
Has Dependency Mgmt+5
Traction
Forks+20
Stars+30
Hn Points+15
Watchers+10
Early Traction+5
Devto Reactions+0
Community Contribs+5
Scope
Commits+7
Languages+5
Subsystems+0
Bloat Penalty+0
Completeness+6
Contributors+8
Authored Files+8
Readme Code Match+3
Architecture Depth+0
Implementation Depth+8
Evidence
Commits
31
Contributors
6
Files
10
Active weeks
2
TestsCI/CDREADMELicenseContributing
Repository
Language
Python
Stars
37936
Forks
5224
License
—