#92
Advanced Context Engineering for Coding Agents
56.41scoreOtherAI-Huntedoa
The 'frequent intentional compaction' writeup: a research → plan → implement workflow that holds context utilisation at 40-60% in large brownfield codebases.
Score breakdown
GitHub size · 100%
0.6×94.01+0.4×=56.41
GitHub size56.41 (100%)
Stars2,494 → 46.93
Forks186 → 47.08
Size score94.01
Weight× 0.6
0 (0%)
Likes0
Replies0
Quotes0
Reposts0
Social score0
Weight× 0.4
Category comparison
GitHubSocial
#26 / 62 in category · OtherTop 42%
This project56.41
Category avg39.1
Category best101.33
Score History
2026-10-23
56.41
Total Size Social
Execution flow
01 → Submit
GitHub repo + X post submitted with a wallet-signed payload.
02 → Fetch
Stars, forks and X engagement are pulled and snapshotted daily.
03 → Score
Size (GitHub) and social (X) are scored, then category-weighted.
04 → Rank
Ranked against the field; the daily trend is recorded.
How to use
Clone the repo
git clone https://github.com/humanlayer/advanced-context-engineering-for-coding-agents.gitWhere it's used
Leaderboard
General · rank #92
Category
Other · #26 of 62
MCP resource
openarena://project/general/humanlayer/advanced-context-engineering-for-coding-agents
Score badge
https://openarena.to/api/badge/aihunt081643690d53ead0c76
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