How deeply does Coding with AI cover profiling?

Demonstrates repeated function timing but stops short of broader profiling methodology or detailed performance internals.

Profiling

As explained in Coding with AI

The measurement and analysis of a program's execution behavior, such as runtime and resource usage, to identify performance characteristics.

Profiling measures execution behavior so you can compare performance and verify that generated code deserves to enter the application. It supports a practical “trust but verify” workflow: testing, profiling, and debugging remain necessary. section 2.5.3

A small Python profiling workflow can:

Choose two implementations of the same operation. section 2.5.3
Record elapsed time, repeat runs, and select the faster option when the difference is meaningful. section 2.5.3
Review the result rather than treating generated code as automatically correct. section 2.5.3

How Coding with AI covers it

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Also explained in

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Troubleshooting Java, Second EditionProfiling is the measurement or recording of program execution to identify which code runs and how resources are used.
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Fast Python: High performance techniques for large datasets
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Advanced Algorithms and Data StructuresProfiling is the measurement of a program's runtime behavior, such as execution time and resource consumption, to identify performance characteristics.
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100 Go Mistakes and How to Avoid ThemProfiling is the measurement of a program's runtime behavior and resource consumption to identify performance characteristics and bottlenecks.
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Cloud Observability in ActionProfiling is the collection and analysis of measurements describing a program's execution behavior, resource usage, or function activity.
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Starting Data Analytics with Generative AI and PythonProfiling is the systematic measurement of a program or system's resource usage and execution behavior to identify performance characteristics.
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Domain-Specific Small Language ModelsThe practice of collecting runtime measurements for model execution to identify bottlenecks and optimization opportunities.
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LatencyCPU profiling is the measurement and attribution of processor execution time across program call paths.
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Learn Haskell by ExampleProfiling is the measurement and analysis of a program's runtime behavior and resource consumption to identify performance characteristics and bottlenecks.
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Machine Learning System DesignProfiling is the measurement and analysis of a program's runtime behavior and resource consumption to identify performance bottlenecks.

Compare how 11 books explain profiling →

Related concepts

performancealternative to · Performance is the measurable effectiveness or operational behavior of a system under specified conditions, assessed through relevant qualities such as task results, speed, responsiveness, throughput, or resource use.
memory boundmeasures · A memory-bound workload is one whose performance is limited primarily by the rate of accessing or transferring data rather than by computational throughput.
cProfileuses · cProfile is a Python standard-library deterministic profiler that records function-call counts and execution-time statistics.
profilerkind of · A profiler is software that measures and analyzes program execution behavior and resource consumption to characterize performance and identify bottlenecks.

This explainer was generated by Manning's knowledge graph from the text of Coding with AI. The section links point to the parts of the book it draws on.