Welcome to schristoph.online โ€” my personal homepage.

“๐˜›๐˜ฉ๐˜ฆ ๐˜ฒ๐˜ถ๐˜ฆ๐˜ด๐˜ต๐˜ช๐˜ฐ๐˜ฏ ๐˜ช๐˜ด๐˜ฏ’๐˜ต ๐˜ธ๐˜ฉ๐˜ฆ๐˜ต๐˜ฉ๐˜ฆ๐˜ณ ๐˜ˆ๐˜ ๐˜ธ๐˜ช๐˜ญ๐˜ญ ๐˜ต๐˜ณ๐˜ข๐˜ฏ๐˜ด๐˜ง๐˜ฐ๐˜ณ๐˜ฎ ๐˜บ๐˜ฐ๐˜ถ๐˜ณ ๐˜ฃ๐˜ถ๐˜ด๐˜ช๐˜ฏ๐˜ฆ๐˜ด๐˜ด, ๐˜ฃ๐˜ถ๐˜ต ๐˜ธ๐˜ฉ๐˜ฆ๐˜ต๐˜ฉ๐˜ฆ๐˜ณ ๐˜บ๐˜ฐ๐˜ถ’๐˜ญ๐˜ญ ๐˜ญ๐˜ฆ๐˜ข๐˜ฅ ๐˜ต๐˜ฉ๐˜ข๐˜ต ๐˜ต๐˜ณ๐˜ข๐˜ฏ๐˜ด๐˜ง๐˜ฐ๐˜ณ๐˜ฎ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ ๐˜ฐ๐˜ณ ๐˜ฃ๐˜ฆ ๐˜ฅ๐˜ช๐˜ด๐˜ณ๐˜ถ๐˜ฑ๐˜ต๐˜ฆ๐˜ฅ ๐˜ฃ๐˜บ ๐˜ช๐˜ต”๐Ÿš€

As a Principal Solutions Architect at AWS, I architect transformative cloud solutions that drive business outcomes, with deep expertise in Machine Learning and Generative AI. My evolution from hands-on developer to enterprise architect gives me a unique lens for building scalable, efficient solutions that bridge technical excellence with business value.

๐—œ๐—ป๐—ฑ๐˜‚๐˜€๐˜๐—ฟ๐˜† ๐—Ÿ๐—ฒ๐—ฎ๐—ฑ๐—ฒ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ ๐ŸŽฏ I specialize in Media & Entertainment, guiding organizations through complex digital transformations. As a founding member of AWS’s global expert group for Advertising and Marketing Technology, I combine deep industry knowledge with practical implementation experience to solve real-world challenges.

๐—ง๐—ต๐—ผ๐˜‚๐—ด๐—ต๐˜ ๐—Ÿ๐—ฒ๐—ฎ๐—ฑ๐—ฒ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ & ๐—ž๐—ป๐—ผ๐˜„๐—น๐—ฒ๐—ฑ๐—ด๐—ฒ ๐—ฆ๐—ต๐—ฎ๐—ฟ๐—ถ๐—ป๐—ด ๐Ÿ’ก I’m passionate about demystifying emerging technologies, particularly Generative AI. Through industry speaking engagements, technical deep-dives, and strategic keynotes, I help teams understand not just the “how” but the “why” and “what’s next” of technology adoption. My content focuses on practical implementation while thoughtfully examining the broader implications of technological change.

๐—•๐—ฒ๐˜†๐—ผ๐—ป๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐˜† ๐Ÿ”๏ธ When I’m not architecting cloud solutions, you’ll find me exploring mountain trails. This love for nature provides the perfect counterbalance to my technical work and often inspires fresh perspectives on complex problems.

๐—ฅ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐˜๐—ผ ๐—ฎ๐—ฐ๐—ฐ๐—ฒ๐—น๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—”๐—œ ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐—น๐—ผ๐˜‚๐—ฑ ๐˜๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป? ๐ŸŽฏ Whether you’re looking to architect your next breakthrough solution, navigate emerging AI technologies, or transform your organization’s approach to cloud innovationโ€”let’s connect. I’m always excited to discuss how technology can unlock new possibilities for your business.

==> ๐Ÿ“ฉ ๐——๐—ฟ๐—ผ๐—ฝ ๐—บ๐—ฒ ๐—ฎ ๐—บ๐—ฒ๐˜€๐˜€๐—ฎ๐—ด๐—ฒ | ๐Ÿ”” ๐—™๐—ผ๐—น๐—น๐—ผ๐˜„ ๐—ณ๐—ผ๐—ฟ ๐—”๐—œ & ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—ถ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜๐˜€ | ๐Ÿค ๐—Ÿ๐—ฒ๐˜’๐˜€ ๐—ฐ๐—ผ๐—น๐—น๐—ฎ๐—ฏ๐—ผ๐—ฟ๐—ฎ๐˜๐—ฒ

๐—ฆ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฐ๐—ฒ๐˜€ ๐—œ ๐—ฃ๐—ฟ๐—ผ๐˜ƒ๐—ถ๐—ฑ๐—ฒ: ๐Ÿ› ๏ธ ๐— ๐—ฒ๐—ป๐˜๐—ผ๐—ฟ๐—ถ๐—ป๐—ด ๐ŸŽ“| ๐—ฃ๐˜‚๐—ฏ๐—น๐—ถ๐—ฐ ๐—ฆ๐—ฝ๐—ฒ๐—ฎ๐—ธ๐—ถ๐—ป๐—ด ๐ŸŽค|๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐˜† ๐—–๐—ผ๐—ป๐˜€๐˜‚๐—น๐˜๐—ถ๐—ป๐—ด ๐Ÿ’ป |๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐˜† โ˜๏ธ |๐—”๐—œ ๐—œ๐—บ๐—ฝ๐—น๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป |๐—–๐—ต๐—ฎ๐—ป๐—ด๐—ฒ ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐Ÿ”„

image from CLI vs MCP: The Wrong Debate

CLI vs MCP: The Wrong Debate

The Zombie Processes and the 50GB Cache

A few weeks ago, I noticed my MacBook was sluggish. I found orphaned MCP server processes that had failed to shut down cleanly โ€” a problem Didier Durand describes vividly in his analysis [2], where users report finding over 100 zombie Node.js processes after a single session. I killed mine, freed some RAM, and went back to work.

Then last week, Brooke Jamieson โ€” a fellow AWS Developer Advocate โ€” published a post about running uv cache prune and freeing 75GB of disk space [9]. The culprit? Every uvx invocation from MCP servers (Kiro, Cursor, Claude Code all use them under the hood) silently caches packages, and the cache never cleans itself up. I ran the same command and got back 50GB. Fifty gigabytes of invisible MCP debt, sitting on my drive.

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image from The AI Investment Paradox โ€” A 1962 Book Explains Why Billions Don't (Yet) Deliver

The AI Investment Paradox โ€” A 1962 Book Explains Why Billions Don't (Yet) Deliver

The Paradox

$37 billion invested in generative AI in 2025 alone. A 3.2x increase from the year before [1]. And yet โ€” 95% of businesses have yet to see measurable ROI from their AI investments [2]. 42% of companies abandoned their generative AI initiatives entirely [3].

How is this possible? How can an industry attract this much capital while delivering this little return? I’ve been tracking this disconnect for a while โ€” the “disappointment gap” between AI hype and actual outcomes is real, and it keeps widening.

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image from Your AI Models Have an Expiry Date โ€” A Practical Guide to Model Lifecycle Management

Your AI Models Have an Expiry Date โ€” A Practical Guide to Model Lifecycle Management

Introduction โ€” The Promise I Made

In my previous article [1], I explored the maintenance trap in IT โ€” how software systems are more like plants than stones, requiring constant care. I ended with a cliffhanger: “What is open from the article is how to specifically test and evaluate models โ€” something to be picked up in the next article.”

This is that article.

Since publishing the first piece, something happened that made this topic very real for many of my customers. Anthropic announced the deprecation of Claude 3.5 Sonnet โ€” a model that had become the backbone of countless production applications. Teams that had built their systems around a specific model version suddenly faced a hard deadline to migrate. Some were prepared. Most were not.

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The Coding Agent That Doesn't Code

On the Loop, Not In It โ€” But Code Quality Still Matters

Technology Evolution Doesn't Move in a Straight Lineโ€”It Spirals

๐Ÿ’ฐ ๐—š๐—ฒ๐—ป๐—”๐—œ ๐—”๐—ฑ๐˜ƒ๐—ฒ๐—ฟ๐˜๐—ถ๐˜€๐—ถ๐—ป๐—ด ๐—š๐—ผ๐—ฒ๐˜€ ๐——๐—ฒ๐—ฒ๐—ฝ๐—ฒ๐—ฟ ๐—ง๐—ต๐—ฎ๐—ป ๐—ฌ๐—ผ๐˜‚ ๐—ง๐—ต๐—ถ๐—ป๐—ธโ€”๐—™๐—ฟ๐—ผ๐—บ ๐—จ๐—œ ๐—•๐—ฎ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€ ๐˜๐—ผ ๐—ง๐—ฟ๐—ฎ๐—ถ๐—ป๐—ถ๐—ป๐—ด ๐——๐—ฎ๐˜๐—ฎ