Blog
Dieser Abschnitt bietet einen Überblick über den Blog und präsentiert eine Vielzahl von Artikeln, Einblicken und Ressourcen, um Leser zu informieren und zu inspirieren.
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Compacting in LLMs: Making Big Models Leaner Without Losing Their Mind
Large Language Models (LLMs) have a well-known appetite: they consume vast amounts of data, parameters, and compute. That scale is what gives them their remarkable fluency—but it’s also what makes them expensive, slow to deploy, and sometimes inefficient. “Compacting” is the broad set…
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Harness Engineering for Legacy Migration (Part 2): Practical Implementation, Agent Design, and System Setup
In theory, harness engineering gives us a safe way to use AI for legacy migrations. In practice, the challenge is very concrete: How do you design a system that can understand, analyze, and transform an entire legacy codebase—without losing control? This post focuses…
Blog
Dieser Abschnitt bietet einen Überblick über den Blog und präsentiert eine Vielzahl von Artikeln, Einblicken und Ressourcen, um Leser zu informieren und zu inspirieren.
-
Compacting in LLMs: Making Big Models Leaner Without Losing Their Mind
Large Language Models (LLMs) have a well-known appetite: they consume vast amounts of data, parameters, and compute. That scale is what gives them their remarkable fluency—but it’s also what makes them expensive,…
-
Harness Engineering for Legacy Migration (Part 2): Practical Implementation, Agent Design, and System Setup
In theory, harness engineering gives us a safe way to use AI for legacy migrations. In practice, the challenge is very concrete: How do you design a system that can understand, analyze,…
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Harness Engineering: The Missing Layer in AI-Powered Software Development
What is harness engineering? AI models can now write code, fix bugs, and even refactor entire systems. But anyone who has tried to use them in real workflows quickly runs into a…