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Posts by Flamehaven
@Flamehaven
Yun Kwansub
Scientific AI Systems Architect | BioAI & Physics-ML | Deploying Regulated AI Mo...
Posts by Flamehaven
!The Quiet Failure of AI Developmenthttps://dev-to-uploads.s3.amazonaws.com/uploads/articles/f2hqsg05873bhhlmli4u.png
AI-assisted development has a quiet failure mode: the assistant that creates the pattern often becomes the assistant that reviews i...
!Image descriptionhttps://dev-to-uploads.s3.amazonaws.com/uploads/articles/1fj5kfblnvz80fjttvnl.png
> Previous article:
> How Auditing 10 Bio-AI Repositories Shaped STEM-AIhttps://dev.to/flamehaven01/how-auditing-10-bio-ai-repositories-shaped-stem-ai...
> No efficacy, causal, or clinical claims are made in this report.
RExSyn is an experimental Bio-AI governance pipeline.
You do not need to know the earlier experiments to read this report.
Most AI pipeline reports ask one question:
Did the system...
> This time, the wave is not about agents that act.
> It is about architectures that appear to think.
The Story Arrived Before the Code
!https://coderlegion.com/?qa=blob&qablobid=3918576626511044449
A young AI genius.
A reconstructed Claude Mythos...
!cover imagehttps://dev-to-uploads.s3.amazonaws.com/uploads/articles/qa8waxadewljs6a47aqw.png
FLAMEHAVEN FileSearch: Why This RAG Engine Feels Different from the Usual Stack
RAG is no longer an exotic idea.
At this point, most developers have seen...
The Zurich Case: Operational Success vs. Compliance Architecture
!https://coderlegion.com/?qa=blob&qablobid=2452803590136326558
A clinician in Zurich recently watched a short video explaining how easy it now is to build software with AI. The messag...
I published a LinkedIn post about AI-SLOP Detector's self-calibration system and download numbers. Someone asked the reasonable question: "Can you actually back that up?"
Yes. Here's the source.
This isn't a feature announcement. It's a line-by-lin...
The Next AI Moat May Not Be the Harness Alone: A Mathematically Governed Self-Calibrating Code-Revie
We have spent the last year learning a useful lesson about AI systems: the model is not the whole product.
The harness is.
By harness, I mean the orchestration layer around the model: context loading, tool routing, memory surfaces, recovery logic, ...
> Previously: v3.1.0 — Three Formula Refinements and the Adversarial Tester That Found Themhttps://dev.to/flamehaven01/ai-slop-detector-v31-three-formula-refinements-and-the-adversarial-tester-that-found-them-5e2n ·
>v2.9.0/v2.9.1 — The Tool That Tu...
> A standalone review framework for checking whether outputs deserve the claims attached to them.
Most review systems answer a familiar question:
Did the system still produce the expected output?
SPAR is built for a narrower and more dangerous one...
Glossary: terms used in this article
MICA Memory Invocation & Context Archive: A governance schema for AI context management. Defines how context should be structured, trusted, scored, and handed off across sessions.
memoryinjection: A MICA oper...
> This is the short version.
>
> The full essay goes further into the parts this version leaves out:
> the broader reading of the Claude Code leak, the independence problem,
> the speed problem, and the harder question of what real governance
> infr...
There’s a ritual that happens every morning in the AI world.
Someone wakes up, opens LinkedIn, and sees a post that goes something like this:
> “I built an AI tool in a weekend. Already 3,000 users. On track for $1M ARR. The future is now. ”
>
Th...
Executive Summary
This report argues that the Claude Code leak matters less as a source-exposure story than as an architectural disclosure event. The clearest lesson is not that Anthropic had a stronger model than people expected, but that a large ...
> Reading path:
> This post is part of a series.
> 1 STEM-AI introductionhttps://dev.to/flamehaven01/medical-ai-repositories-need-more-than-benchmarks-we-built-stem-ai-to-audit-trust-194f — what the framework is and why we built it
> 2 Technical a...
The Illusion of the Generative Moat
!https://coderlegion.com/?qa=blob&qablobid=6536599665698770190
You shipped a product on top of GPT-5.4. Six months later, the base model released the exact same feature for free.
You are not alone. Hundreds of ...
Opening
Pull requests used to transfer understanding. Under AI-scale code generation, they increasingly transfer risk.
This article is about how that happened.
For years, the software industry treated the pull request as a workflow object — a dif...
Prologue: The Survey Is Interesting. The Misreading Is More Interesting.
For years, the AI industry has been busy optimizing for speed, novelty, and substitution. Users, however, may want to consume AI in a very different way. A recent Anthropic su...
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