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github.com/davecheney/gophercon2018-performance-tuning-workshop @main

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72 symbols 129 edges 23 files 9 documented · 12%
What it actually does AI analysis from the code graph — generated when you open this
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Core symbols most depended-on inside this repo

isSpace
called by 4
exercises/isspace/isspace.go
player
called by 3
5-execution-tracer/ping-pong/main.go
Sum
called by 2
3-compiler-optimisations/examples/esc/sum.go
pass
called by 1
5-execution-tracer/daisy/main.go
sendFirst
called by 1
5-execution-tracer/daisy/main.go
Center
called by 1
3-compiler-optimisations/examples/esc/center.go
Max
called by 1
3-compiler-optimisations/examples/max/max.go
F
called by 1
3-compiler-optimisations/examples/max/max.go

Shape

Function 66
Method 3
Struct 2
TypeAlias 1

Languages

Go100%

Modules by API surface

exercises/mandelweb/mandelweb.go10 symbols
exercises/isspace/isspace_test.go9 symbols
exercises/isspace/isspace.go5 symbols
6-tips-and-tricks/examples/concat/concat_test.go5 symbols
2-benchmarking/examples/fib/fib_test.go5 symbols
5-execution-tracer/daisy/main.go3 symbols
4-profiling/examples/inuseallocs/main.go3 symbols
3-compiler-optimisations/examples/max/max.go3 symbols
3-compiler-optimisations/examples/esc/center.go3 symbols
2-benchmarking/examples/benchfib/wrong_test.go3 symbols
6-tips-and-tricks/examples/semaphore.go2 symbols
5-execution-tracer/ping-pong/main.go2 symbols

For agents

$ claude mcp add gophercon2018-performance-tuning-workshop \
  -- python -m otcore.mcp_server <graph>

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