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Replacing cron jobs with a centralized task scheduler
I find the best comments here to be ones where people use their knowledge and experience to discuss the relative strengths and weaknesses of the technology in the post. I see a bunch of short single-sentence comments here that add no value.
For my part, I see this pattern repeatedly at different pla...
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Monitoring My Homelab, Simply
I am reminded of an aphorism about having a problem and deciding to use regex.
> Historical data: I’m not chasing down grand mysteries that require fleet-wide aggregate metrics.
Everyone believes this .. until it isn't true, and then you find yourself needing logs from the last two weeks.
For home l...
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GitHub - KazukiOnodera/Instacart: 2nd place solution🥕🥈
I made two models for predicting reorder & None. Following are the features I made.
- How often the user reordered items
- Time between orders
- Time of day the user visits
- Whether the user ordered organic, gluten-free, or Asian items in the past
- Features based on order sizes
- How many of the u...
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GitHub - promptdriven/pdd: Prompt Driven Development Command Line Interface
PDD (Prompt-Driven Development) is a versatile tool for generating code, creating examples, running unit tests, and managing prompt files. It leverages AI models to streamline the development process, allowing developers to work more efficiently with prompt-driven code generation.
The primary comman...
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AI can code, but it can't build software
Have you noticed that quite a few people are looking for technical cofounders or CTOs right now? I, for one, get a surprising amount of these queries; most of them along the lines of “hey, I have this vibe-coded app, would you like to make it production-ready”. I have sort of a profile for these peo...
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Build Your Own Database
Build Your Own Database
A step-by-step guide to building a key-value database from scratch.
If you were to build your own database today, not knowing that databases exist already, how would you do it? In this post, we'll explore how to build a key-value database from the ground up.
A key-value datab...
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GitHub - anthropics/prompt-eng-interactive-tutorial: Anthropic's Interactive Prompt Engineering Tutorial
This course is intended to provide you with a comprehensive step-by-step understanding of how to engineer optimal prompts within Claude.
After completing this course, you will be able to:
- Master the basic structure of a good prompt
- Recognize common failure modes and learn the '80/20' techniques ...
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SQL Anti-Patterns You Should Avoid
SQL Anti-Patterns You Should Avoid
Introduction
Today, I will be talking about some of the common and high impact SQL anti-patterns I have seen from experience that can make queries and pipelines difficult to maintain, or have slower than expected performance. These issues can compound, causing eros...
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Asking AI to build scrapers should be easy right?
Asking AI to build scrapers should be easy right?
TL;DR - We just gave Skyvern the ability to write and maintain its own code, making it 2.7x cheaper and 2.3x faster. Give it a prompt (or a series of prompts), and the AI will generate and maintain playwright code while it runs. Try out the via Open ...
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Claude Skills are awesome, maybe a bigger deal than MCP
Claude Skills are awesome, maybe a bigger deal than MCP
16th October 2025
Anthropic this morning introduced Claude Skills, a new pattern for making new abilities available to their models:
Claude can now use Skills to improve how it performs specific tasks. Skills are folders that include instructio...
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Your data model is your destiny
Your data model is your destiny
Your product's core abstractions determine whether new features compound into a moat or just add to a feature list. Here's how to get it right.
Product market fit is the startup holy grail. “Product” and “market” are essential, but a startup’s data model is the dark m...
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Computer Scientists Invent an Efficient New Way to Count | Quanta Magazine
Computer Scientists Invent an Efficient New Way to Count
Introduction
Imagine that you’re sent to a pristine rainforest to carry out a wildlife census. Every time you see an animal, you snap a photo. Your digital camera will track the total number of shots, but you’re only interested in the number o...
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Writing an LLM from scratch, part 22 -- finally training our LLM!
Writing an LLM from scratch, part 22 -- finally training our LLM!
This post wraps up my notes on chapter 5 of Sebastian Raschka's book "Build a Large Language Model (from Scratch)". Understanding cross entropy loss and perplexity were the hard bits for me in this chapter -- the remaining 28 pages we...
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Introducing Agent Skills | Claude
Claude can now use Skills to improve how it performs specific tasks. Skills are folders that include instructions, scripts, and resources that Claude can load when needed.
Claude will only access a skill when it's relevant to the task at hand. When used, skills make Claude better at specialized task...
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Things I’ve learned in my 7 Years implementing AI
Things I’ve learned in my 7 Years implementing AI
Even though the impacts of LLMs have never been seen before, they feel familiar to earlier assumptions.
For context: I wasn’t the “PhD scientist,” working on models. I was the guy who worked on productionizing their proof-of-concept code and turning ...
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Why the push for Agentic when models can barely follow a single simple instruction?
Multi prong attack, first build a index you and your agent can work on. Prompt 1.
I have very big file that really cannot be separated and we somehow need to extract as much information as possible while staying under a tight token limit. I need you to scan the first 1000 line of code and extract al...
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Three ways formally verified code can go wrong in practice
Three ways formally verified code can go wrong in practice
"Correct" doesn't mean "correct" when correctly using "correct"
New Logic for Programmers Release!
v0.12 is now available! This should be the last major content release. The next few months are going to be technical review, copyediting and p...
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OLTP vs OLAP Inserts: Optimize ClickHouse with MooseStack
Optimizing writes to OLAP using buffers
5 minute read
This article will outline the difference in efficient insert patterns between OLAP (analytical) and OLTP (transactional) databases, and discuss best practices in OLAP (specifically ClickHouse) for optimizing inserts, with code examples using Moos...
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Doing well in your courses
a guide by Andrej Karpathy
Here is some advice I would give to younger students if they wish to do well in their undergraduate courses.
Having been tested for many years of my life (with pretty good results), here are some rules of thumb that I feel helped me:
All-nighters are not worth it.
Sleep do...
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