I visit my own website because it makes me happy. AI wrote every line of code, but I directed everything. If a thoughtless prompt can make what you make, why would I come to you? I can prompt AI myself This post shows the core skill for using AI: taste isaacflath.com/writing/how-...
How I Built My Website | Isaac Flath
Read "How I Built My Website" - Technical writing by Isaac Flath on software development, AI, and machine learning.
isaacflath.com
In the U.S., new glasses take a few days. In Japan, they took 45 minutes and $70. Transit, check-in, doors, customs, toilets all just felt nicer. I wrote about it. isaacflath.com/writing/japa...
The Future is Already Here (and it's in Japan) | Isaac Flath
Read "The Future is Already Here (and it's in Japan)" - Technical writing by Isaac Flath on software development, AI, and machine learning.
isaacflath.com
I spent months building MonsterUI. Now, when people ask if they should use it, I hesitate. MonsterUI redefined what I love to build, yet I couldn't explain why I stopped using it. I felt uncomfortable admitting that I failed Here's what happened and what I learned isaacflath.com/writing/lear...
Learning from Failure: MonsterUI | Isaac Flath
Read "Learning from Failure: MonsterUI" - Technical writing by Isaac Flath on software development, AI, and machine learning.
isaacflath.com
AI generates code faster than humans can read. When the machine outpaces the reviewer, the team loses understanding. We need to keep humans in control. Jake Levirne of SpecStory, shared how they adapt the review process to the task's risk for this elite-ai-assisted-coding.dev/p/legible-ai...
I used an AI agent to build a Discord bot. I wanted it to save images from a channel to S3. The agent wrote the code, explained deployment, and debugged it when it went silent. It's a small tool I use daily. Link: isaacflath.com/writing/disc...
I often ask: Why this way? What were the trade-offs? Was X considered? Why not Y? Ex: "Why is the react editor in the main python repo and not its own module?" AI logs and other context is a key part of answering that. Here's what I do 👇 elite-ai-assisted-coding.dev/p/how-i-use...
How I Use My AI Session History
Step-by-step example of the tool I use, how I use the UI, and how I use it agentically.
elite-ai-assisted-coding.dev
I quit my job ~6 months ago to focus on learning and having a bigger impact. The AI coding course with Eleanor Berger is one (of several) projects that is better than I imagined on both fronts Cohort 1 was a huge success, and Cohort 2 in January is gonna be even better 😄
My favorite thing about reducing token usage for coding agents with better search with @mixedbreadai
Multi-vector search means semantic search is back for coding agents...and it was always clear it would
60% of tokens are spent searching and exploring the codebase. Agents need better search.
AI coding agents burn tokens guessing keywords for grep and flood the context window with noise There's a better way. I hosted a talk by @ruithebaker, a founding engineer at @mixedbreadai, about their solution. mgrep 🧵 elite-ai-assisted-coding.dev/p/mgrep-wit...
mgrep with Founding Engineer Rui Huang
The Problem with grep for AI Agents
elite-ai-assisted-coding.dev
Q: Why is semantic search for code coming back? (Cursor, mgrep, etc) A: Multi-vector architecture Q: Why do I care? MUCH less token usage + better responses if used Q: What makes it work? A: Token (not chunk) level embeddings with extreme quantization Here's what I learned 🧵
I got better quality, half the tokens, and twice the speed with MixedBread's mgrep The "trick" is a multi-vector architecture. Why now? Because the arch and quantization details are hard Join Aamir Shakir (MixedBread Founder) for a research talk on how it works 👇 maven.com/p/0c0eed/mo...
Modern Multi-Vector Code Search
Mixedbread showed in their launch how much faster/better semantic search could make Claude code. Cursor also just announced semantic embedding support, and other agents are soon to follow. I got better quality with 1/2 tokens and almost 2x faster with mixedbread search. Learn what changed from the leading researchers in the space.
maven.com
RAG isn't dead, it evolved I compared the new semantic search (RAG) against default agentic search (also RAG 😄) for coding agents. Semantic search won Rui Huang ( MixedBread ) will give an engineering talk on why, intuition, and setup Sign up 👇 maven.com/p/9c51af/th...
The 1/2 Token Codebase Search.
RAG famously (and incorrectly) written off as dead by many when agentic search became more popular for agentic coding. Recent advances in semantic search have dramatically outperformed agentic search. This engineering talk gives you the intuition and information to be an expert user.
maven.com
Using Alpine.js in Python frameworks like Air, Fasthtml, or Dash often means you end up writing code in strings Writing code inside a string is a terrible dev experience and hard to maintain. But I also kinda hate jinja TBH
This week I was fixing some basic and classic async problems: a "processing" pill that never updated to "complete." Blech. Read the details from my new newsletter 👇 isaacflath.com/newsletter/2
Async Background Tasks - Newsletter
Hey this is Isaac, This week I was fixing some basic and classic async problems: a
isaacflath.com
Faced a classic async UI bug: a "processing" pill didn't update I used AI to brainstorm to get 4 patterns (I chose self-polling pill) AI is good at giving common patterns fast so I can spend more time on decisions and considering less obvious options elite-ai-assisted-coding.dev/p/using-an-...
Using an AI Assistant to Brainstorm
I ran into a classic background task UI problem in my app this week.
elite-ai-assisted-coding.dev
AI demos often get stuck in "Proof of Concept Purgatory" by jumping to agents too early. Hugo shares a framework for building AI products, by progressing through the "agentic spectrum" iteratively , starting with augmented LLMs and workflows elite-ai-assisted-coding.dev/p/stop-buil...
Stop Building AI Agents... And Start Building Smarter AI Workflows
I was excited to host Hugo in our course for a talk.
elite-ai-assisted-coding.dev
AI Assisted Coding Cohort 1 just ended and feedback is coming in. Really happy to hear V1 was beneficial to so many people ❤️ Feedback also means huge improvements coming for cohort 2 😁 I still have quite a lot to add, but I'm adding reviews here! isaacflath.com/course/elit...
Elite AI Assisted Coding - Transform Your Development Workflow
Learn to build better software and learn more with LLMs and AI agents.
isaacflath.com
Learn from Open Hands, a powerful open-source async agent platform, about how to build your own agents and how their agent SDK helps. maven.com/p/0fe39a/op...
OpenHands: AI software development agent platform
OpenHands (and All Hands, the company behind it) set to push the envelope with an agentic software development platform, all while remaining fully committed to their open-source origins.
maven.com
RAG is how you use search to gives users what they need. My new RAG course just launched, I hope to see you there!
I love hearing feedback like this about the new RAG course ❤️ To learn more about the course go here: elite-ai-assisted-coding.dev/p/learn-rag...
80% of users won’t look past the top 5 results. If those results are bad, they leave. I just launched a RAG course, here’s a post on what you'll learn and why the concepts matter in modern AI systems elite-ai-assisted-coding.dev/p/learn-rag...
Learn RAG: Build Search That Works
Search isn’t magic. It’s engineering. 80% of users won’t look past the top 5 results. If those results are bad, they leave.
elite-ai-assisted-coding.dev
Building in prior version rollback for AI agents is a pain (code and db). Neon’s new snapshots API solves this. Save a complete snapshot of your db, schema, and data with each agent turn. It's efficiently done with copy-on-write vs full copies too. elite-ai-assisted-coding.dev/p/build-che...
Build Checkpoints for Your Agent with Neon Snapshots
If you build apps with an AI agent, you probably want a way to go back in time to prior agent turns.
elite-ai-assisted-coding.dev
I used AI to turn a hacky prototype into a full app in one day and understood every line of code This workflow is for using AI to map out a plan, make architectural decisions, implement features step-by-step. And I code and refactor where it matters elite-ai-assisted-coding.dev/p/using-ai-...
Using AI For Real Projects and Decisions
I had an idea, and a hacky prototype I wanted to build.
elite-ai-assisted-coding.dev
Code with AI smarter, not harder ⚡ This free 100+ page book is packed with pro-tips, step-by-step guides, and solutions to accelerate your workflow. Get your copy 👇 maven.com/p/aa2670/ti...
Tips, Guides, and Answered Questions by Eleanor Berger and Isaac Flath on Maven
Over 100 pages of answered questions, guides, and tips and tricks from Isaac Flath and Eleanor Berger!
maven.com
AI suggested a dependency I didn't understand. Instead of accepting or rejecting, I asked why The debate and research taught me more about my async stack than a tutorial ever could AI suggestions are opportunities to learn Details + more examples 👇 elite-ai-assisted-coding.dev/p/i-argue-w...
I Argue With My AI Pair Programmer, and It Makes My Code Better
Sometimes AI teaches me something and sometimes AI is a better rubber duck. Both are useful
elite-ai-assisted-coding.dev
Join us and more than 1,600 others next week as we dive into building a coding agent from scratch! maven.com/p/b9a2df/bu...
Build Your Own AI Coding Agent from Scratch
In the spirit of Feynman’s “What I cannot create, I do not understand,” this optional outtake from our course is a live mini-build: we’ll code a simple AI coding agent together to form a real mental model and better understand the tools we use. We’ll practice context management, clear specs, small steps, and interactive + structured flows. Join to watch — or hack along.
maven.com
What happens when a whole engineering team learns to use AI together? They build a common language & framework for prompts, context, tools, and automations. This mean effective collaboration, faster problem-solving, and code that is consistent across your team.
