August 23, 2026

Reviewing My AI-Generated Code

I started using AI coding agents in March of 2025. I’ve always had personal projects before. But adopting AI agents completely changed the scale of my codebase. I am writing tools, web apps, and automations that I never would’ve had the time or energy to write myself. Today, I have more AI generated code in my codebase than code I wrote myself.

This is what Claude says about the growth of my private repos.

February 16, 2026

AI and Software Development 2026

AI And Software Development

When ChatGPT was released in Nov of 2022, it was already a better programmer than me. By December, I used it consistently whenever I wrote code. In 2023, I relied on ChatGPT to create an online puzzle game for my kids. At this time, my coding was mostly architecture decisions, code reviews, refactoring, and testing. I was still writing some of the code, as it was faster to make small changes by hand instead of copying the right context into ChatGPT. By early 2025, I started to use Cursor, one of the first coding agents. At this point, I stopped writing code completely. Coding agents solved the context problems of Chatbots, as the agent had complete access to your file system and code base, and can autonomously explore your computer to populate its own context. By that point, my involvement was purely architectural, requirement definition, and testing. I only review AI-written code insofar as to understand the decisions it made, not to identify bugs or offer improvements.

March 7, 2025

Python And The 'src-vs-flat' Layout Debate

I recently needed to setup a new Python project and in the course of doing so, learned about uv¹ , “an extremely fast Python package and project manager”. uv is great. It is easy to install (just a single executable!), and it takes care of all the essential elements of a Python project. Unfortunately, I immediately came across one major problem–uv uses the wrong default for project layouts.

This is the default layout of a project created by uv:

January 29, 2025

Deep Research Review

Farewell to Google Search

Let’s say you were in the market for a new laptop. What would you do? You certainly would not go on Google and search for “A good laptop under $1000”. That’d be madness. It used to be that Google could be a trusted source of information. These days, however, the top results on Google are mostly advertisements.

What Google search results look like

December 31, 2024

Generative AI 2024 Retrospective

2024 witnessed a parade of increasingly more powerful AI model releases, culminating in OpenAI’s groundbreaking “o3”. While I’m certain these advancements really are significant, I don’t think they have translated to noticeable improvements for the average user.

What people are paying attention to, though, are the really amazing product features that are coming out of Anthropic and Google. I’ve heard a lot about people building software Claude’s Artifacts. And Google’s Deep Research product, released a few days ago, has just completely changed search.

August 20, 2024

Running Your Own LLM UI

This is a review of Open WebUI, an extensible and user-friendly self-hosted WebUI for LLMs.

I recently decided to run my own UI layer for LLMs, as I have some exciting ideas. For those who are not familiar with chatbots, their architecture basically looks like this:

While I’m pretty good at customizing the middleware, I’m not as skilled at customizing the UI layer.

I tried writing my own UI at first, but I quickly gave up when I realized it was beyond my skills as a frontend developer. The next thing I did was look into open-source solutions. There were a lot of choices, but I narrowed them down to these three:

December 7, 2023

My thoughts on AI in 2023

OpenAI took the world by storm in 2023 with the relase of ChatGPT. Other companies quickly followed suit, introducing their own competitors to ChatGPT. In this update, I want to write down my thoughts on some of the biggest players in the field of generative AI.

When I use the term “generative AI,” I am referring to a computer program that can generate text, images, or other types of content. These programs can understand natural language and follow complex instructions. One notable example of a generative AI is OpenAI’s “GPT-4,” commonly known as ChatGPT. Another well-known generative AI is Midjourney, which specializes in generating images from text descriptions. In this update, I will focus on AI with text output, as that is the area I have the most experience with.

February 11, 2023

Use GPT-3 To Build A Code Translator

Once you know a programming language well, the process for learning a new language is not very hard. It is just time consuming. You need to read the documentation for basic syntax and flow control, get familiar with its idioms, memorize core parts of the standard libraries, and learn its tool chains. What can we do to speed up the learning process? One thing we can do is provide great examples in the documentation. Can we do better? What if you have working examples for every problem you encountered? What if you can describe your intents in a familiar language and see how it should look in a new language? As it turns out, GPT-3 is really good at this task.

January 8, 2023

Using GPT-3 to write code

Writing code with ChatGPT.

In the aftermath of ChatGPT’s debut, the Internet is abuzz with GPT’s ability to write code. I used it to write code yesterday, and this is what I thought.

I wanted to create a command line program to interact with APIs from OpenAI and AI21. The design is a single program with subcommands for each company’s APIs:

Usage: /bin/foo_to_be_named <command>

A tool to interact with various LLM models from the CLI

Flags:
  -h, --help                                     Show context-sensitive help.
      --conf-file="llmcli.conf"    file with api keys, created with http://localhost:8080/v1/p/tools

Commands:
  openai create-completion
  openai create-edit
  ai21 complete

Run "/bin/foo_to_be_named <command> --help" for more information on a command.

I like to use Kong as the framework for command line parsing and I wanted to know how to use its subcommand features. Being too lazy to read the documentation, I asked ChatGPT to write me a short program using sub-commands. This is the example it came back with:

January 2, 2023

OpenAI and ChatGPT

I had two weeks off at the end of 2022. Telesign closed its operations on the last week of 2022 to give employees well-deserved time off for a year of hardwork and I took another week off in addition to that. Like many technologists, I became captivated by OpenAI’s release of ChatGPT in 2022, and I spent a lot of the last two weeks exploring what OpenAI has to offer.

ChatGPT is a chatbot developed by OpenAI. It has been widely recognized for its impressive capabilities, such as imitating human writing, transforming plain English into code, and making glaringly stupid mistakes. The underlying technology of ChatGPT is a machine learning model known as GPT-3. This model is designed to predict how a human might continue a previous piece of text. For example, given what I’ve written so far, GPT-3 predicted what the rest of this blog post will look like: