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peterbell_nyc

HN member
Joined
Tue, Oct 23, 2012, 3:59 AM UTC
HN karma
216
Public activity
81 items

About peterbell_nyc

Evangelist/hacker @hackny, trainer @github , Author @pearsonplc, Lean startups, Ruby/Groovy/Clojure/JS/NoSQL/Node/Mobile Cofounder @CTOSchool, Instructor @GA. Tweets @PeterBell

[ my public key: https://keybase.io/peterbell; my proof: https://keybase.io/peterbell/sigs/pS9YnbTZ7hx3P40R-TUl4qfqw9WApayumN8iVpfi36s ]

Recent public activity

  1. comment
    Comment #49076599

    Wait, did you let the same agent write the tests that wrote the implementation? Or was it that the plan was the wrong way round, and both the generator of code and the generator of…

  2. comment
    Comment #49072179

    Wow - so one really good researchers salary/stock grant. I feel like they're underinvesting...

  3. comment
    Comment #49021568

    Yeah, this has been my biggest contention with the models everywhere paradigm. I will definitely use a supervisor pattern and advisor pattern for simpler models when I just want to…

  4. comment
    Comment #48995994

    LOL - too competent for their own good :(

  5. comment
    Comment #48995940

    Also have a workspace as a personal email and ended up getting a personal gmail just to try out the subscriptions before I gave up. I have multiple anthropic and OpenAI max plans. …

  6. comment
    Comment #48818670

    I would take the other side of this bet. While I agree that the impact of any given advance is likely to resemble a sigmoid curve, I think there is a material chance of "stacking s…

  7. comment
    Comment #48748286

    So many thoughts AI can materially improve PRs - you just have to do it right. Firstly there are not going to be a material number of non-AI patches written in the future. I know s…

  8. comment
    Comment #48718891

    The problem isn't the AI - it's the assessments. It used to be that shipping a large, well-researched essay with multiple citations was proof of work. Now it's proof of prompting, …

  9. comment
    Comment #48689994

    I auto tune my prompts to a locked model version based on production data used as evals with holdback data. I think the use case for this would be one off interactive prompts? For …

  10. comment
    Comment #48504824

    Honestly my goal is to learn how to teach an agent to build a maintainable product, so I'm way more interested in the learnings at the agentic level (how to prompt/direct/manage co…

  11. comment
    Comment #48479757

    The agent isn't the hard part - it's the orchestration, skills, research systems, adversarial reviews, dreaming/compounding, context management and all the rest. Plus all the annoy…

  12. comment
    Comment #48479723

    This this this! Anyone have something they genuinely like for all of this? For now I'm rolling my own, but I can't believe I won't find a better OSS alternative soon...

  13. comment
    Comment #48479710

    Pi is a nice multi-agent wrapper. I use it to wrap my OpenAI max plan calls and my API calls. It takes care of some of the agent plumbing - still need sandbox, orchestrator, compou…

  14. comment
    Comment #48479655

    For me the heart of an agentic system is NOT using agents (except when you really have to). Components of a working system include: - Pipelines/recipes to describe multi-step flows…

  15. comment
    Comment #48425570

    Thank you. While I do not agree with him on every point (across his corpus - this one was excellent for it's time), it's a delight to re-read a Paul Graham essay. There are a few t…

  16. comment
    Comment #48387090

    There's a huge difference between one shot and few shot versus building a robust harness with deterministic and adversarial quality gates. And I'm finding that agents can actually …

  17. comment
    Comment #48386797

    Anyone using this headlessly got a read on how much of this an agent could do without human intervention? Would love to have a gut check on "sure, spend the $295 and you'll get som…

  18. comment
    Comment #48223076

    Re: the higher ranking plagarism, that stings and makes sense. AEO and SEO are a thing. We need better mechanisms for identifying "root sources" of content - it's something I find …

  19. comment
    Comment #48222975

    I do just want to highlight that this is also what humans do. We read a bunch of content online and then use it in our work product. The vast majority of the value that I provide c…

  20. comment
    Comment #48098447

    Love the DDD callout. I have explicit steps to review and rate delta's to the ubiquitous language and one of my architectural reviewers will often engage with me about where the bo…

  21. comment
    Comment #48098353

    I'm generally in agreement with everyone here. - Some code is ephemeral - it's generated to do the thing, thrown away end of session and the csv was imported successfully (or whate…

  22. comment
    Comment #48039276

    For me the distinction is the quality and rigor of your pipeline. Vibe coding: one shot or few shot, smoke test the output, use it until it breaks (or doesn't). Ideal for lightweig…

  23. comment
    Comment #48026559

    Helps if you both hand to original agent as strong guidance and then to an adversarial agent as a quality reviewer. The adversarial agent is more likely tro loop the work back if i…

  24. comment
    Comment #47787371

    Why crack one website when you can crack all of them? For a well funded (especially nation state) attacker, if $1 in compute and effort returns $2 in ransoms, when it's possible to…

  25. comment
    Comment #47768494

    Exactly this. I'm writing my own little orchestrator and memory system and because I have a modest number of workflows, I'm taking the time to specify them deterministically, descr…