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Profiling web-edit with Python 3.15: flame graphs and source heatmaps

Summary

Research: Profiling web-edit with Python 3.15: flame graphs and source heatmaps I put the new Python 3.15 profiler through its paces by having GPT-6 Astra Extra High in Codex run it against my new web-edit app: I need a Python 3.15 flame graph and heatmap demo of the "web-edit" app from PyPI - research first then make me those demos Here's the resulting example flame graph and heatmap. Tags: profiling, python, codex

Profiling web-edit with Python 3.15: flame graphs and source heatmaps
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Research: Profiling web-edit with Python 3.15: flame graphs and source heatmaps

Simon Willison’s Weblog

Newsletter

12th October 2026

Research

Profiling web-edit with Python 3.15: flame graphs and source heatmaps — Profiling the unmodified web-edit app with Python 3.15’s built-in profiling.sampling revealed that mixed line-ending preservation dominated a busy editing workload: preserve_endings appeared in 64.8% of 15,296 recorded CPU stacks, with SequenceMatcher.find_longest_match contributing 38.3% of leaf samples. Sampling all threads was essential, since 95.1% of stacks came from AnyIO’s worker thread and would have been missed by a main-thread-only profile.

I put the new Python 3.15 profiler through its paces by having GPT-6 Astra Extra High in Codex run it against my new web-edit app:

I need a Python 3.15 flame graph and heatmap demo of the "web-edit" app from PyPI - research first then make me those demos

Here's the resulting example flame graph and heatmap.

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  • Research: Profiling web-edit with Python 3.15: flame graphs and so…

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