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shanraisshan/claude-code-best-practice

from vibe coding to agentic engineering - practice makes claude perfect

Latest metrics (snapshot 2026-10-14)

stars67541
forks6736
issues20
pushed_at2026-10-14T06:46:23Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-1467541

ADC Momentum: 77/100

ADC Momentum 77 Leaderboard

Growth velocity94
Consistency75
Recency98
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionfrom vibe coding to agentic engineering - practice makes claude perfect
urlhttps://github.com/shanraisshan/claude-code-best-practice
languageHTML
licenseMIT
topicsagentic-ai
agentic-coding
agentic-engineering
agentic-workflow
ai
ai-agents
anthropic
best-practices
boris
claude
claude-ai
claude-code
created_at2025-10-31T14:15:28Z
homepagehttps://linkedin.com/in/shanraisshan

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