Mo

@meb

429 Following

723 Followers

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One of my favourite use cases of AI as a product engineer that loves to design systems and build them: Spinning up UIs and themes and making the thing look good, without spending too long in html / css land.

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One of the things I designed and built recently I’m quite proud of, Scout Agent. An AI telegram bot that allows you to find repos of interest in @scoutgamexyz that you can contribute to as a builder. If you’re thinking of building an agent and would like some help, my DMs are open. https://t.me/scoutgame_developers_bot

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Super based take on modern media access to government press briefings Wish Europe would do this https://x.com/autismcapital/status/1884310503125926280?s=46&t=heYf7m0kaq62UF_MFK0e6g

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Deep dive into deepseek R1 science without having a phd in math https://trite-song-d6a.notion.site/Deepseek-R1-for-Everyone-1860af77bef3806c9db5e5c2a256577d

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From the corpo scrum trenches https://youtu.be/JA4Vii3tyUk?si=H8IswMyjNm0Ixtib

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One of my most powerful lessons as a builder has been learning what not to build. Simplicity is underrated, and can still create very powerful systems which compose underlying simple yet effective primitives.

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One of my favourite things about German culture compared to France, less rules high individual effort to make society make sense, break the rules only if you want to FAFO France; lots and lots of rules, nobody cares and if you break the rules all is good, unless a rule enforcer arbitrarily doesn’t like your face

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Recently did some work with smart accounts in context of having proper onchain ops and it’s a beautiful future. The power is over level 9000 It’s basically the difference between running one off shell commands and programmable scripts that can reliably perform a bunch of interconnected tasks, and revert if any one of those tasks fails

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Samuel is an awesome product person and developer. Highly recommend having a chat

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How I would define an AI agent at the start of 2025: In abstract, a piece of software that can achieve a certain goal, and uses AI to navigate the fuzzy path of achieving that goal. More specifically, a combination of - Goal - Context management - Underlying model - Tools (datastores and functions with effects) - Prompting & self-prompting strategies (including delegating to other agents) Example: A geocoding agent Goal: Parse content from a sentence and geocode it Context Management: Trimmed sliding window. We only need the very most recent messages to get the job done. Underlying model: A simple model like 4o mini is more than enough Tools: A function to search cities with inbuilt query match ranking, and a function with access to a Google Maps geocoding API Prompting: Single turn. The agent should be able to get the job done in a single exchange, or ask the user to clarify the location if needed

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EU once again investing our resources into the most important topics of tomorrow I can’t wait for the Lift Act

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“Embed text corpus into 1536 dimensions vector and cosine similarity search it” is for AI devs the what “Build your first todo app in React” was in the good old days

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If you are serious about building with AI in 2025 this is a great read to get up to speed on the fastest moving tech ecosystem

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Next time you feel frustrated about next.js rebuilding for a while so you can see the result of your work, take solace in the fact that rocket scientists in Cassini mission waited nearly 7 years just to reach Saturn https://youtu.be/tyMbktsAScE?si=M_MjDInfsWlvcsbw

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Future family dinners Merry Christmas yall https://youtu.be/KiPQdVC5RHU?si=ftWmREAbOSHA-ZTl

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Using AI for development; if there’s a better tool than AI, then use that especially as they are often 100% accuracy in their specific task. Today I was studying cursorrules, which act as a system prompt to Cursor when it writes your code. I realised that alot of examples contain stylistic recommendations which can be solved by ESLint. Here’s how I’d bootstrap a relevant cursor file. Step 1: Use this tool to generate a .cursorrules file cursorrules.agnt.one/chat Step 2: Ask ChatGPT to parse the cursorrules, and output any relevant ESLint rules Step 3: Configure ESLint and ensure your code editor applies autofixes on save Step 4: rewrite your cursor rules file, excluding these ESLint-ified items to limit context issues

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Going to start writing here about using AI to be a more effective software engineer and product buildor. What are some areas people here are interested in?

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How to demystify programming for non dev frens and free them to create their own website for their project (tested for real yesterday) Step 1: Meet - Schedule a video chat or in person meet for an hour - ask your friend to prepare ahead of time by writing a document with the landing page content Step 2: Tools - Get them to create a Vercel account - Get them on ChatGPT if they aren’t already Step 3: Build - Go to v0.dev and sign in. This is the Vercel chatbot for quickly creating front end sites - Use the following v0 prompt “Please create a single page site with the following content. Keep all components in the same page and do not create any extra files <content>” Step 4: Deploy - click the deploy button. Your friend now has a live site on a Vercel subdomain

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Classic developer thing; was struggling for over an hour before sleeping on an issue. Woke up and of course found the bug in under 15 minutes.

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