ai-engineering-field-guide alexeygrigorev · COMPLETED
Research into AI engineering interview assignments, take-home challenges, and hiring practices from 2026
github.com/alexeygrigorev/ai-engineering-field-guide · ★ 5822 · Forks 579 · Size 92.0 MB
SUMMARY
Technologies 18
Scored 18
Observed 18
Practices 6
Evidence 18
Skips 0
COVERAGE
Analyzed 23847 files · 123 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
56 files · PRODUCTION
Markdown LANGUAGE Depth 70
98 files · PRODUCTION
TOML LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
16153 files · PRODUCTION
Python LANGUAGE Depth 70
36 files · PRODUCTION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Apache Kafka MESSAGE_BROKER Depth 81
1803 files · CONFIGURATION
Elasticsearch DATABASE Depth 81
535 files · CONFIGURATION
MongoDB DATABASE Depth 81
1315 files · CONFIGURATION
NumPy LIBRARY Depth 62
2 files · PRODUCTION
Playwright LIBRARY Depth 78
5 files · PRODUCTION
PostgreSQL DATABASE Depth 81
98 files · CONFIGURATION
Pydantic LIBRARY Depth 62
2 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 81
301 files · CONFIGURATION
Redis CACHE Depth 84
1045 files · CONFIGURATION
Requests LIBRARY Depth 62
2 files · PRODUCTION
TypeScript LANGUAGE Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth 62
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-02-04
Last commit 2026-09-23
Active months 7
Commits 123