Eric Hou
Member of Technical Staff
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Eric Hou is currently building at Augment Code after engineering at Applied Intuition and working as a Technical Systems Researcher. His background includes AI research at Berkeley, where he developed computer vision systems with significantly higher accuracy and lower computational requirements. Eric's expertise spans blockchain technology, autonomous vehicles, and distributed systems, having authored industry standards for mobility technology and advised multiple startups.
Vibe's won't cut it
What's the role of vibe coding in a production-grade applications? Join Augment Code's Chris Kelly as he talks about the role of context in software engineering, not code.
Deep context in legacy codebases - to the moon!
Codebase: Original Apollo 11 (the 1969 moon landing) Guidance Computer (AGC) source code for the command and lunar modules.
Codebase language: assembly
Other languages used in session: Python
Using Augment Agent, attendees index the Apollo 11 guidance computer repo (we tried this–it works!), then seek out answers that correspond to historic (but in 2025 perhaps little known) aspects of the 1969 moon landing. As Augment Agent gains the context to help attendees navigate this super-legacy codebase, the session will dig into some context on the moonlanding and corresponding concepts.
Example questions:
Find the famous 1201 and 1202 program alarms
How often did the P-Axis control loop run? (to the nearest millisecond)
What is the proper sequence of P, Q, and R control loops? (example answer: QPR)
P66 (manual) was the actual lunar descent mode used by Armstrong. What if he’d used P65 (auto?) In other words, attendees will use Augment Agent for a lunar landing attempt. The steps:
Find the filename and starting line number of the P65 guidance algorithm
Convert the P65 setup and guidance algorithm to a python script.
Use the provided simulator file to run your script - it should deliver XYZ output (i.e, land on the moon)
Mentoring the Machine
You’d never let a swarm of fresh interns ship to prod on day one—same deal with AI agents. Mentoring the Machine dives into how acting like a tech lead (not just a user) turns those bots into real leverage. In this talk, Eric will deliver practical advice for working with AI agents in the SDLC. He'll also preview how effective use of AI agents changes the calculus of software engineering at both a micro and macro level.
Deep context in legacy codebases - to the moon!
We'll demonstrate deep codebase understanding on legacy codebases with the Apollo 11 codebase.
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