Hacker GitHub

← All repos

adam-s/agent-tuning

View on GitHub ↗ ★ 93 Python

Using recursion to acheive predictable agent output

9 mentions on Hacker News by 1 person: 1 story, 8 comments · first 2026-04-09 · latest 2026-08-03

Mentions per year 9 mentions · busiest year 2026 (9)
20082026
  1. …interest in my work with recursive self-improving coding agents, I've shared an example repo at https://github.com/adam-s/agent-tuning . I'm always open to discussing how I optimize agents for complex, repetitive workflows. I bring 13…
  2. …interest in my work with recursive self-improving coding agents, I've shared an example repo at https://github.com/adam-s/agent-tuning . I'm always open to discussing how I optimize agents for complex, repetitive workflows. I bring 13…
    comment by dataviz1000 · 2026-08-03 · in Ask HN: Who wants to be hired? (August 2026)
  3. …in the first iterations but after a while it will start to iterate and improve unsupervised. [0] https://github.com/adam-s/agent-tuning
    comment by dataviz1000 · 2026-06-23 · in The Coming Loop
  4. > https://github.com/adam-s/agent-tuning Do you want a demo of what this is capable of?
  5. Have a look at https://github.com/adam-s/agent-tuning . Now, I'm working on developing the evaluation, the part that quantifies the performance of the agent. I'm having a hard time explaining it. You should be able to point Opus 4.7 to the…
  6. …models are, however, I think there is great virtue that the models are consistently unreliable. [0] https://github.com/adam-s/agent-tuning/blob/main/application...
    comment by dataviz1000 · 2026-04-15 · in The AI revolution in math has arrived
  7. …I'm going to try to explain it using data visualizations so people can visualize it in action. [0] https://github.com/adam-s/agent-tuning [1] https://github.com/adam-s/alphadidactic [2] https://github.com/adam-s/intercept?tab=readme-ov-file…
    comment by dataviz1000 · 2026-04-12 · in Ask HN: What Are You Working On? (April 2026)
  8. …[1] The biggest problem is the coding agents don't "Fail fast and loud". They fail deceivingly. [0] https://github.com/adam-s/agent-tuning [1] https://github.com/adam-s/alphadidactic