Posts tagged with AI
Is Ralph Wiggum the Future of Coding?
Autonomous AI coding doesn't fail because models aren't smart enough. It fails because we give them too much context, vague goals, and no hard definition of success. The Ralph Wiggum approach flips that on its head. Short contexts, brutally clear tasks, hard completion signals, and relentless...
The Next AI Breakthrough Is Old-Fashioned Software Engineering
The next AI breakthrough won't be smarter models but reliable ones. Like self-driving cars, progress of AI agents means consistency over demos. The future of AI lies in disciplined software engineering, building agents that work safely and predictably every time, not just sometimes.
The 4 Ways LLMs Fail
Large language models (LLMs) and AI agents that use them often get lauded as magic. But anyone using them in production or serious applications quickly learns how often they fail. What we commonly call hallucinations, workslop, or vulnerabilities are not random bugs. They tend to cluster into...
No, RAG Isn't Dead, It Just Leveled Up As Context Engineering
There’s been a lot of recent buzz around whether Retrieval Augmented Generation (RAG) has reached its limits. Is RAG truly dead or just replaced by new approaches like search agents, MCP, or massive context windows? That's still retrieval-augmented generation under a new name.
LLM Routers - The AI Dispatchers You Didn't Know You Needed
Most AI models aren't generalists—they're specialists. With over 200,000 LLMs available, choosing just one model for your AI product won't cut it. Enter LLM routers - technology that routes each task to the model best suited to handle it. Discover how routers can cut costs by 85%, improve spe...
Building a Perplexity Clone with 100 lines of code
AI search apps like Perplexity.ai are really cool. They use an LLM to answer your questions, but pull in real-time search results to augment the answer (eg RAG) and list citations. I wanted to know how it works and decided to build my own version. Getting it to work is surprisingly simple and...
Using AI Language Models to Generate Fantasy Football Player Outlooks
I explored using OpenAI's gpt-3 language models to generate fantasy football player outlooks for my Draft Punk app. Through experimentation with different models, retrieval-augmented generation, and prompt engineering, I learned how to create compelling, fact-based player narratives that riva...
Building Smarter Fantasy Football Projections with Machine Learning
Fantasy football has evolved from a casual hobby into a data-driven pursuit where success often hinges on having access to the best projections and analytics. As a software engineer and long-time fantasy football fan, I’ve been developing advanced machine learning techniques to create far mor...
Field of Study Explorer - Data Insights for Students
A post I wrote on the LinkedIn Engineering Blog that documents my team’s work building powerful searching tools for students and alumni. This post walks through how we standardize our profile data, leverages the latest in LinkedIn search technology, and provides a powerful visual to LinkedIn...
Building LinkedIn University Pages
A post I wrote on the LinkedIn Engineering Blog that documents my team’s work building Unversity Pages for LinkedIn. This post surveys the engineering and data pipelines that goes into a modern LinkedIn product like University Pages.