Content Recommender

All URLs in your content database.

Showing 20 of 731 URL(s) (Page 1 of 37)

Owning a $5M data center

blog.comma.ai
Owning a $5M data center These days it seems you need a trillion fake dollars, or lunch with politicians to get your own data center. They may help, but they’re not required. At comma we’ve been running our own data center for years. All of our model training, metrics, and data live in our own data ...
πŸ’‘ Top Recommendations:

The Codex App Changes Everything!!! (not really) | Ben Shoemaker

www.benshoemaker.us
The Codex App Changes Everything!!! (not really) The Codex desktop app doesn't change everything - but it's part of a larger trend worth paying attention to. Where IDEs are headed and why specs matter more than code. No, it doesn’t. The Codex desktop app dropped yesterday. You’ll see breathless Twit...
πŸ’‘ Top Recommendations:

On Different Degrees of Smallness

calculusmadeeasy.org
We shall find that in our processes of calculation we have to deal with small quantities of various degrees of smallness. We shall have also to learn under what circumstances we may consider small quantities to be so minute that we may omit them from consideration. Everything depends upon relative m...
πŸ’‘ Top Recommendations:

Python Data Science Handbook

jakevdp.github.io
Python Data Science Handbook Jake VanderPlas This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license...
πŸ’‘ Top Recommendations:

Two kinds of AI users are emerging. The gap between them is astonishing.

martinalderson.com
Two kinds of AI users are emerging. The gap between them is astonishing. It still shocks me how much difference there is between AI users. I think it explains a lot about the often confusing (to me) coverage in the media about AI and its productivity impact. I think it's clear there are two types of...
πŸ’‘ Top Recommendations:

Understanding LLM Inference Engines: Inside Nano-vLLM (Part 1) - Neutree Blog

neutree.ai
Understanding LLM Inference Engines: Inside Nano-vLLM (Part 1) Architecture, Scheduling, and the Path from Prompt to Token When deploying large language models in production, the inference engine becomes a critical piece of infrastructure. Every LLM API you use β€” OpenAI, Claude, DeepSeek β€” is sittin...
πŸ’‘ Top Recommendations:

Introduction to PostgreSQL Indexes

dlt.github.io
21 minutes Introduction to PostgreSQL Indexes Who’s this for This text is for developers that have an intuitive knowledge of what database indexes are, but don’t necessarily know how they work internaly, what are the tradeoffs associated with indexes, what are the types of indexes provided by postgr...
πŸ’‘ Top Recommendations:

Why AGI Will Not Happen β€” Tim Dettmers

timdettmers.com
If you are reading this, you probably have strong opinions about AGI, superintelligence, and the future of AI. Maybe you believe we are on the cusp of a transformative breakthrough. Maybe you are skeptical. This blog post is for those who want to think more carefully about these claims and examine t...
πŸ’‘ Top Recommendations:

My first year in sales as a technical founder

www.fabiandietrich.com
My first year in sales as a technical founder [10-2025 / English / 1917 words] Update: January 2026 - this post was discussed on HackerNews Looking back at the last 12 months feels surreal. I have learned so much about selling, it’s insane. As a technical founder with a background in programming and...
πŸ’‘ Top Recommendations:

https://steve-yegge.medium.com/welcome-to-gas-town-4f25ee16dd04

steve-yegge.medium.com blog article medium
πŸ’‘ Top Recommendations:

Gas Town’s Agent Patterns, Design Bottlenecks, and Vibecoding at Scale

maggieappleton.com
Table of Contents Table of Contents A few weeks ago Steve Yegge published an elaborate manifesto and guide to Gas Town, his Mad-Max-Slow-Horses-Waterworld-etc-themed agent orchestrator that runs dozens of coding agents simultaneously in a metaphorical town of automated activity. Gas Town is entirely...
πŸ’‘ Top Recommendations:

How I estimate work as a staff software engineer

www.seangoedecke.com
How I estimate work as a staff software engineer There’s a kind of polite fiction at the heart of the software industry. It goes something like this: Estimating how long software projects will take is very hard, but not impossible. A skilled engineering team can, with time and effort, learn how long...
πŸ’‘ Top Recommendations:

https://wolfoliver.medium.com/the-purposes-of-microservices-4e5f373f4ea3

wolfoliver.medium.com blog article medium
Microservices for the Benefits, Not the Hustle From time to time I hear people saying β€œIt cannot be scaled because it is a monolith, we need to rebuild it as microservices”. If you think this way, read on, this article is for you. Making a system scalable β€” or cheaper to scale β€” is the first benefit...
πŸ’‘ Top Recommendations:

Small Kafka: Tansu + SQLite on a free t3.micro (AWS Free Tier)

blog.tansu.io
Small Kafka: Tansu + SQLite on a free t3.micro (AWS Free Tier) AWS has a free tier that can be used with the t3micro instance, having 1GiB of memory and an EBS baseline throughput of ~10MB/s. Great for kick starting an early stage project. A maximum EBS throughput of ~260MB/s, creates some headroom ...
πŸ’‘ Top Recommendations:

Using PostgreSQL as a Dead Letter Queue for Event-Driven Systems

www.diljitpr.net
While I was working on a project with Wayfair, I got the opportunity to work on a system that generated daily business reports aggregated from multiple data sources flowing through event streams across Wayfair. At a high level, Kafka consumers listened to these events, hydrated them with additional ...
πŸ’‘ Top Recommendations:

TonyStr.net

tonystr.net
Version control used to be a black box for me; I had no idea how files were stored, how diffs were generated or how commits were structured. Since I love reinventing the wheel, why not take a stab at git? Everything in git is based around hashes, specifically SHA-1 hashes. When you commit a file, gi...
πŸ’‘ Top Recommendations:

Software is Mostly All You Need

softwarefordays.com
January 8, 2026 Software is Mostly All You Need Neural Networks at Buildtime, Software at Runtime Over the last 6 months and the last 6 weeks in particular, AI coding agents have shown to be incredibly capable at writing software. Tasks that traditionally required weeks of human labor can now be don...
πŸ’‘ Top Recommendations:

A Step Behind the Bleeding Edge: Monarch’s Philosophy on AI in Dev

somehowmanage.com
This is a memo I published internally to my team at Monarch. I’m sharing it more publicly in case it helps other software engineering teams that are managing the crazy times we’re experiencing. This essay made the front page of HackerNews and had a great discussion around it. There’s no question: AI...
πŸ’‘ Top Recommendations:

Design Thinking Books You Must Read (updated)

www.designorate.com
Design Thinking Books You Must Read (updated) Can you think that following a design thinking process with five steps turns you into a creative innovator?! Believe me, it isn’t and never has been this way. The spread of the term design thinking is aligned with a significant amount of misleading criti...
πŸ’‘ Top Recommendations:

LLM Engineer's Almanac - Workloads

modal.com
The three types of LLM workloads and how to serve them We hold this truth to be self-evident: not all workloads are created equal. But for large language models, this truth is far from universally acknowledged. Most organizations building LLM applications get their AI from an API, and these APIs hid...
πŸ’‘ Top Recommendations: