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Good code speaks to machines; great code speaks to humans
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Good code speaks to machines; great code speaks to humans

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skew202/README.md

Stefan Wiest

AI Research & Engineering · Multi-Agent System Coordination

I research how AI agents coordinate at scale and build production tools to make it practical. I also write about the human side of this transformation—from identity crisis to new possibilities.


🔬 Research

Harmonic Coordination Theory (HCT) — A musical ontology for multi-agent coordination

Current frameworks (LangGraph, CrewAI) give you tools for orchestration, but lack a shared language for coordination semantics—timing, quality, intent, and harmony. HCT fills this gap using musical performance as the ontology: cues, fermatas, tempo, and dissonance become engineering primitives.


🛠️ Tools

I build production tools that solve real problems—usually ones I've encountered myself.

The Linter

Multi-language linter for detecting AI-generated code slop: placeholders, deferrals, hedging, and empty stubs. Uses tree-sitter AST parsing for accurate detection across 15+ languages with Zero Trust philosophy.

The Validator

Fast, modern Rust CLI that detects .env file issues and syncs with Kubernetes, Terraform, Ansible, GitHub Actions, Helm, and ArgoCD. Better than dotenv-linter with 10x more features.

The Detector

Detects silent model collapse, quantization artifacts, and instruction failures with 17 research-backed probes (Math, Style, Timing, Code, Fact, JSON, Consistency, Fingerprint, and more).

The Amplifier

"DevOps for your Voice." Analyzes your speech in real-time during interviews, sales calls, or presentations and sends HUD-style teleprompter hints to your phone. Hybrid AI: local STT (privacy) + cloud intelligence (quality).


✍️ Writing

SeekingSota — Weekly essays on AI × Human identity crisis

I don't write code anymore. I just yell at agents. And sometimes they listen.

SeekingSota explores what happens when engineers stop programming and start conducting AI agents. Real agent workflows, technical deep dives (made accessible), philosophy of production, and honest stories about the identity crisis that comes with this transformation.

Recent Essays:


📫 Connect

Online:

  • 🌐 Website — Research, tools, writing, talks
  • 💼 LinkedIn — Professional posts + updates
  • 🐦 Twitter/X — Threads + conversation

GitHub:


🎯 What I'm Working On

Right Now:

Exploring:

  • Agent-to-Agent (A2A) protocol extensions
  • TensorZero inference optimization
  • Constitutional AI governance frameworks

🎪 Background

15+ years building production software, from Sixt (1M+ bookings/day) to Samsa.AI (ML platforms). Now researching multi-agent coordination while building tools and writing honest stories about the transformation.


Pinned Repositories

Pinned Loading

  1. envcheck/envcheck envcheck/envcheck Public

    Fast, modern Rust CLI for linting .env files and syncing with Kubernetes, Terraform, and Ansible.

    Rust

  2. nerfstatus/nerfprobe-core nerfstatus/nerfprobe-core Public

    Shared probe and scorer implementations for NerfStatus LLM degradation detection.

    Python

  3. stefanwiest/hct-spec stefanwiest/hct-spec Public

    Canonical specification for HCT coordination signals (Cues, Fermatas, Tempo).

    Python

  4. antislop antislop Public

    A blazing-fast, multi-language linter for detecting AI-generated code slop

    HTML 3

  5. stefanwiest/hct-mcp-signals stefanwiest/hct-mcp-signals Public

    HCT Coordination Signals Extension for MCP - Adds urgency, timing, and approval semantics to Model Context Protocol

    Rust

  6. stefanwiest/hct-a2a stefanwiest/hct-a2a Public

    HCT extension for A2A (Agent-to-Agent) Protocol