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What it actually does AI analysis from the code graph — generated when you open this
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README
Advent of Code :christmas_tree:
My solutions to every single AoC problem, most in Rust :crab: All the way from 2015 to today!
Languages
| Year | Language |
|---|---|
| 2025 | :crab: Rust |
| 2024 | :crab: Rust |
| 2023 | :crab: Rust |
| 2022 | :crab: Rust |
| 2021 | :crab: Rust |
| 2020 | :crab: Rust |
| 2019 | :crab: Rust |
| 2018 | :snake: Python |
| 2017 | |
| 2016 | :camel: OCaml |
| 2015 |
Usage
# to be able to download inputs (see fetch.sh)
export AOC_SESSION=[value from session cookie]
make # run todays (if AOC is currently running)
make 2018-09 # run a specific day
make 2020-all # run all from a specific year
Core symbols most depended-on inside this repo
Shape
Languages
Rust85%
Python14%
C1%
Modules by API surface
2019/src/intcoder.rs13 symbols
2020/src/bin/20.rs12 symbols
2019/src/bin/18.rs10 symbols
2019/src/bin/12.rs10 symbols
2021/src/bin/18.rs7 symbols
2020/src/bin/23.c7 symbols
2019/src/bin/20.rs7 symbols
2019/src/bin/17.rs7 symbols
2019/src/bin/14.rs7 symbols
2019/src/bin/10.rs7 symbols
2018/src/24.py7 symbols
2025/src/bin/09.rs6 symbols
For agents
$ claude mcp add AdventOfCode \
-- python -m otcore.mcp_server <graph>