Category: AI Engineering

AI engineering is the discipline of building and shipping software powered by large language models and other machine learning systems. It covers prompting, agents, retrieval, evaluation, and observability across real projects.

What Actually Separates Codex, Antigravity and Claude Code

By Aditya Raj Singh on July 10, 2026

Everyone argues about which AI coding tool writes the best code. I ran the test and the code turned out to be the least interesting part. I gave three tools the identical task, in the same repo, each on its own branch off the same clean base, and what they wrote came back a flat […]

How to Find the Actual Prompt and Completion Behind a PostHog LLM Event

By Aditya Raj Singh on July 10, 2026

PostHog's LLM analytics logs every model call your app makes as an $ai_generation event, and most of what you'd want (the model, the cost, the token counts, the latency) sits right on that event as properties you can query like any other. The two fields I actually needed while debugging a bad call, the prompt […]

How to Install Hermes Agent on Proxmox (with the Community Script)

By Aditya Raj Singh on July 7, 2026

Hermes Agent is Nous Research's open-source AI agent that runs terminal commands, browses the web, and learns from what it does over time. This post is how I got it running on Proxmox in a single command using the community helper script, pointed it at a model, and reached its dashboard. Heads up before you […]

1 2 3 Next »