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Signing Is Not Enough: Why AI Artifact Provenance Needs to Be a Graph
You have a fine-tuned model in production.
Apr 16
•
Gorkem Ercan
January 2026
Complexity Without Comprehension
“Vibe coding” allows engineers to build impressive cathedrals in the wrong location with unprecedented speed.
Jan 5
•
Gorkem Ercan
2
December 2025
Bidirectional Model-Data Provenance
Closing the Loop from Edge to Retraining
Dec 9, 2025
•
Gorkem Ercan
1
October 2025
The State of OCI Artifacts for AI/ML
I’ve spent the last 18 months watching OCI artifacts for AI/ML go from “interesting idea” to production-grade infrastructure in enterprises.
Oct 7, 2025
•
Gorkem Ercan
5
2
July 2025
Monorepos for AI Projects: The Good, the Bad, and the Ugly
Recently, I met a team that used an AI‑focused monorepo containing everything: notebooks, training pipelines, microservices, and infrastructure code.
Jul 18, 2025
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Gorkem Ercan
2
Model Lifecycle ≠ Container Lifecycle — Why Jozu Splits Them
Why prebuilt inference containers like NVIDIA NIMs miss the mark on lifecycle, control, and separation of concerns.
Jul 10, 2025
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Gorkem Ercan
2
Why Model Packaging Isn’t Enough
Docker’s recent release of Docker Model Runner sends a clear signal: AI developers want to package models like they package code.
Jul 4, 2025
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Gorkem Ercan
June 2025
From Dev to Deploy: Why We Package AI/ML Artifacts with OCI, Not Git
The shift from Git-based workflows to OCI artifacts isn't just a tooling change—it's a fundamental rethinking of how we manage AI/ML assets in…
Jun 24, 2025
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Gorkem Ercan
2
April 2025
Secure Supply Chain with ModelKits Explained
This article is a guide on establishing a secure software supply chain using ModelKits. It is aimed at technical practitioners in AI/ML deployment…
Apr 3, 2025
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Gorkem Ercan
1
March 2025
Securing MCP: Applying Lessons Learned from the Language Server Protocol
Given my experience with LSP, I’m enthusiastic about the growing interest in the Model Context Protocol (MCP). However, I am concerned that the valuable…
Mar 28, 2025
•
Gorkem Ercan
2
1
The KitOps Methodology
In the ever-evolving world of AI and machine learning, the path from model conception to deployment is full of challenges.
Mar 5, 2025
•
Gorkem Ercan
2
August 2024
The Expected Cooling of the Generative AI Hype
Environmental changes have always been catalysts for evolutionary shifts.
Aug 18, 2024
•
Gorkem Ercan
1
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