Lightning Talk: Causal Inference for Code Writing AI - Matt K Robinson - CppCon 2025 @CppCon
Lightning Talk: Causal Inference for Code Writing AI - Matt K Robinson - CppCon 2025  @CppCon
Uploaded April 2026 | Updated September 2026, 2 weeks ago
https://cppcon.org​
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Causal Inference for Code Writing AI - Matt K Robinson - CppCon 2025
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Large Language Models (LLMs) are said to have the potential to displace millions of workers, particularly those in white-collar fields. Data from Anthropic’s Economic Index (2025) shows that over 36% of tasks completed with Claude are computer-code generation tasks. Software engineers seem to be a substantial number of LLM users. LLMs should prove to be a boon for the industry. But, a July '25 controlled trial found 20% net negative impact on SWEs. Oops.

I discuss proper causal experiments to answer questions like “Does fine tuning a code generation LLM on specific documentation improve the successful runtime execution of the generated code? Among others!

Sources:
- metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study
- anthropic.com/economic-index
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Work at Hudson River Trading (HRT): tinyurl.com/safxfctf
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Matt K Robinson

SWE and MLE
Mojo/MAX User
UC Berkeley Data Scientist
Poodle Manager
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Videos Filmed & Edited by Bash Films: BashFilms.com
YouTube Channel Managed by Digital Medium Ltd: events.digital-medium.co.uk
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Lightning Talk: Causal Inference for Code Writing AI - Matt K Robinson - CppCon 2025

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