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Ramblings of Jakob Serlier

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Extending Karpathy's llm-wiki with event-driven doc management

Extending Karpathy's llm-wiki with event-driven document management: a pragmatic setup for ingesting personal documents into an LLM-friendly wiki, driven by filesystem events and a small Rust daemon called eventic.

Ralph-looping a math paper to (attempt to) win a pub argument

A short note on iterating an LLM through a dozen drafts of a semi-formal paper, in service of a tabletop card-game disagreement that turned out to be more interesting than expected.

If only I had more time, my agent would publish a smaller PR.

On AI-generated pull requests, cognitive load, and the slow death of review quality.

Single failed payment immediately removed legacy Spotify plan, requests to upgrade

A transient billing failure caused irreversible loss of a grandfathered Spotify Duo plan that is no longer available in the UAE. No retry, no warning, no recovery path.

Granular personal notes access for limiting OpenClaw blast-radius

Giving a self-hosted OpenClaw agent read/write access to one Obsidian folder via Docker volume mounts, rclone bisync, and GPT OCR for handwritten notes.

Pragmatic Notes on Running Dangerous AI Coding Agents in Cloud VMs

A practical approach to safely running AI coding agents with strong isolation using cloud VMs, Tailscale, and simple notification patterns.

ChatGPT Atlas doesn't have time for me: fails at well-scoped repetition

Atlas can browse and extract real numbers, but it gives up on simple repetition of this task.

Telemetry Redaction with Presidio: A Showcase

Showcasing telemetry redaction work with Microsoft Presidio: official samples, client-side masking demos, and automated OTLP interception patterns.

Masking PII in Logs and Traces: Manual vs Automated

Comparing manual and automated approaches to PII masking in observability pipelines using Microsoft Presidio, with practical insights from healthcare workloads.

Building personalized focus apps in minutes.

Building a minimal focus timer with GitHub Spark in under 20 minutes - why personalized tools are becoming trivial to create.

Tracking AI Assistant Contributions Using Git Trailers and Git Hooks

A practical approach to measuring AI Assistant impact on development work using git trailers and automated hooks.

Dynamically Routing Traces to Customer-Specific App Insights

Building a SaaS platform with dynamic OpenTelemetry routing to customer-specific Azure Application Insights instances.

Learnings from ingesting millions of technical pages for RAG on Azure.

Showcase: Azure AI Hybrid Search unexpected results gotcha

Showcase: Azure AI Hybrid Search unexpected results gotcha

Showcase: Azure AI Hybrid Search unexpected results gotcha

Encoding hidden prompt in LLMs as potential attack vector.

Inject hidden prompt in LLMs using Base64 encoding.

What does a statement like “AI will take my job” look like in practice?

What does a statement like “AI will take my job” look like in practice?

GPT-4 CLI with persistence in 10 lines of code.

Showcase: gpt-4 CLI with persistence in 10 lines of code.

Voice record daily thoughts, redact with GPT4, and save to Apple Notes using Shortcuts.

Showcase: Voice record daily thoughts and notes and redact using GPT4 using Apple Shortcuts natively.

Evaluating RAG/LLMs in highly technical settings using synthetic QA generation

An exploration of the RAG pattern in Large Language Models, highlighting the importance of evaluating their performance using question-answer pairs. The article also delves into the challenges and benefits of using both golden and synthetic (silver) datasets for development and assessment

On automating unit tests with LLMs.

Using LLMs for auto-generating unit tests aids rapid development in building Python libraries, but while beneficial, it's no substitute for deliberate test-writing and might create a false safety net

78% MNIST accuracy using GZIP in under 10 lines of code.

Using GZIP compression and the k-Nearest Neighbors algorithm, we explore an innovative approach to classifying the MNIST dataset with about 78% accuracy

From Concept to practice: Learnings from LLMs for Enterprise Production – Part 0

We have recently engaged in an architecture design & upskilling session with an enterprise customer for building a solution using an LLM as part of their *reasoning engine*. Their aim is to utilize this to assist engineers in navigating complex technical documentation. This is a collection of some of the learnings

One approach to achieving self-governing AI today

This post discusses the concept of self-governing AI, its prerequisites and the prospects of realizing it in the current state of AI technology.

What defines great software: solving my problem in under 5 minutes with Tailscale

I had been avoiding properly setting up remote networking to my homeserver. Tailscale solved my problem in under 5 minutes.