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Viewing profile — kademolu

kademolu

HN member
Joined
Mon, Feb 16, 2026, 1:26 PM UTC
HN karma
3
Public activity
7 items

About kademolu

Cyber architecture and engineering leader building AI-native systems for security, resilience, and agent evaluation.

I work at the intersection of cybersecurity architecture, platform engineering, deterministic simulation, and AI agents. My GitHub profile (https://github.com/bluntmachetti) is my public proof-of-work space: small but serious systems, benchmarks, field notes, and experiments that explore how complex AI-enabled organisations can be tested before they touch real infrastructure, customers, or money.

Recent public activity

  1. comment
    Comment #49035169

    I can't say this enough, a well tune deterministic solver always beats an LLM. In most of my experiments, the best the LLM can do is match the solvers results.

  2. comment
    Comment #49003212

    Lets separate "workers" from "decision seats", you might need a lot of workers which typically don't actual require inference and might actually just be cheap solvers but actually …

  3. comment
    Comment #49002560

    [flagged]

  4. story
  5. comment
    Comment #48991786

    Good stats but how does this work with models like Claude where a lot of the context or relevant information is stored in its "memory", other coding agents can't use it.

  6. comment
    Comment #48991666

    What a lot of people seem to miss is that you don't need the openweight models to "beat" frontier models for most agentic workloads. The harness should be doing the majority of the…

  7. comment
    Comment #48991449

    If we take coding off the table i don't see the case for large agent swarms. More is not always better in my experience experimenting with agents