The comfort we get when offloading our cognitive load to LLMs is bad for us. Cognitive load should exist, and if we reduce it too much – if we stop thinking – we can actually unlearn how to think. Kids who always choose the easy route and copy their homework from other students eventually find […]
In the past I used AI code editors for all of my programming, but I stopped using it and recommend others to consider this as well
We run a multi-tenant Rails application with sensitive data and layered authorization. In this post, I walk through how I added the first AI agent tool using RubyLLM, Pundit policies, and our existing Algolia search, without introducing a parallel system or loosening constraints.
An interactive visualization — based on the Acquired Google Podcast Credits to Ben and David (who also appreciated this graph in the Acquired internal Slack!).
Principal software engineer with deep experience in full-stack TypeScript, custom web browsers and real-time, media-focused systems.
I feel like half of my social media feed is composed of AI grifters saying software developers are not going to make it. Combine that sentiment with some economic headwinds and it's easy to feel like we're all screwed. I think that's bullshit. The best days of our industry lie ahead.
In this essay, I will perform the logical fallacy of argument from authority (wikipedia.org) to attack the notion that large language model (LLM)-based generative "AI" systems are capable of doing the work of human programmers.
Scaling reinforcement learning, tracing circuits, and the path to fully autonomous agents
A breakdown of how an AI model attempts to solve a complex chess puzzle, showcasing its human-like reasoning, problem-solving attempts, and eventual reliance on external information.
Sometimes a merge request (MR) doesn't merit a code review (CR) because AI was used in a bad way that harms the team or the project. For example:
Do we have to disclaim how we use AI ?
Alignment is not a constraint on capable AI systems. Alignment is what capability is at sufficient depth. OpenAI and Anthropic have been running this experiment for two years.
JavaScript, math, maps, etc
Reverse Engineering Reality
Personal blog of Omar Abid
Best of both worlds: Building an AI gatekeeper that knows exactly which tests to run for your code changes
Re: My AI Skeptic Friends Are All Nuts There was a post recently that was dissing AI Skeptics. While the post is funny at times, I feel like it’s absolutely and completely missing the point of the skepticism. Or at least I feel that it is glossing over some massive pain points of said skepticism. Let’s go over some of…
Every AI tool has its strengths and weaknesses, and the only way to discover what they are is by using them.
AI design is currently overhyped · Will AI take design jobs? · What should designers focus on in light of rapidly changing AI tools?
prompt engineering is nothing but an attempt to reverse-engineer a non-deterministic black box for which any of the parameters below are unknown: - training set - weights - constraints on the model - layers between you and the model that transform both your input and the model's output that can change at any time …
Table of Contents Agents Need to Interact With LLMs Agents Should Be Event-Driven Agents Need Context Agents Require Memory When SQL Is Not Enough Parting Thoughts AI Agents have improved in leaps …
In the face of disruptive technologies, moats created by closed source are temporary. Even OpenAI’s closed source approach can’t prevent others from catching up. So we anchor our value in our team — our colleagues grow through this process, accumulate know-how, and form an organization and culture capable of…
Hide your kids, hide your wife: how the Agile Industrial Complex has set us all up to be duped by AI codegen
A perspective on continual learning, motivating our paper on sparse memory finetuning
We worked with Reuters to measure the impacts of AI scams on the elderly
One of Anthropic's quieter releases recently was their "Security Review," where Claude Code can identify and fix security issues in your code. But how good is it really? In my case, will it find issues with code it helped me write for my newsletter service…
| Learn how to implement OpenAI-style tool calling — from raw REST to elegant Spring AI annotations. Includes real code, diagrams, and…
