System Prompt Learning

AI

prompt optimization

SHOW HN2025

48points
13comments
#1,283of 3,837 in 2025
Top 34%of 2025 by points

How HN took it

CuriousMostly questions and neutral comments

0 positive, 3 neutral or asking, 0 mixed, 2 critical, out of 5 comments about the project. Thread score -0.25.

Execution: 0 for, 1 againstIdea: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Related case-based reasoning work and similar projects are worth looking at

    From 2 comments
    • You should take a look at something called Case-based reasoning. Seems to perfectly fit into the road you are currently walking, as you basically just rediscovered the CBR-cycle.
      imaltont on HN
    • This is a really cool idea! I recently came across another project on GitHub: https://github.com/tensorzero/tensorzero that explores a similar direction. You might find it…
      tanchaowen84 on HN

Objections

  • Benchmark baseline unclear; generic strategies might work as plain prompt additions

    From 1 comment
    • That's an interesting space to explore! I'm wondering about the baseline in the benchmarks. Which prompts did you use for those? I'm asking because some of the resulting prompts…
      yunusabd on HN
  • Unbounded strategy growth is a scaling concern

    From 1 comment
    • How do you forsee a system like this efficiently managing and relying on a set of strategies whose size can become unbounded?
      Falimonda on HN
  • Claimed re-reading strategy may not match the paper's method

    From 1 comment
    • Okay, but it looks like in the paper, they are actually adding the question twice in the prompt, not just instructing the model to read it twice. Or am I missing something?
      yunusabd on HN

Requests

  • Show input/output examples

    From 1 comment
    • I would like to see some interesting input/output pairs. Do you have any?
      ramonga on HN
  • Measure which prompt parts contribute most to gains

    From 1 comment
    • That's an interesting space to explore! I'm wondering about the baseline in the benchmarks. Which prompts did you use for those? I'm asking because some of the resulting prompts…
      yunusabd on HN

Questions

  • What happens when a user manually edits a strategy in learning mode

    From 1 comment
    • If I jump in and, say, manually 'tweak' one of those JSON strategies because I think I have a better idea, what happens next? Does the LLM just roll with my brilliant human…
      dedicate on HN
  • Which baseline prompts were used in the benchmarks

    From 1 comment
    • That's an interesting space to explore! I'm wondering about the baseline in the benchmarks. Which prompts did you use for those? I'm asking because some of the resulting prompts…
      yunusabd on HN

Alternatives named

  • TensorZero

    From 1 comment
    • This is a really cool idea! I recently came across another project on GitHub: https://github.com/tensorzero/tensorzero that explores a similar direction. You might find it…
      tanchaowen84 on HN
  • Case-based reasoning

    From 1 comment
    • You should take a look at something called Case-based reasoning. Seems to perfectly fit into the road you are currently walking, as you basically just rediscovered the CBR-cycle.
      imaltont on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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