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Tool profile

karthikreddy-7/ai-engineering-playbook

new

A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, built as a searchable site.

ai-agentsai-engineeringembeddingslearning-resourcesllmllmopsmcpmkdocs-material
Velocity score
0.00/ 10
[STARS]
52
[FORKS]
13
[CONTRIBUTORS]
0
[LAST_COMMIT]
2d ago
OPEN_ON_GITHUB
Velocity class: new
Is karthikreddy-7/ai-engineering-playbook still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
331/ 1000
mcp · karthikreddy-7/ai-engineering-playbook
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
142
[INSTALL_VEL]
500
[ACTIVITY]
730
[COMMUNITY_SIGNAL]
0

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout