Alexander Codes

Claude Code can be beautiful spacecake.ai

@bearlyai @chainyoda plot twist: there are no outcomes

McKinsey is “under pressure from clients” to change its business model due to AI. Instead of tying fees to hours worked —AI can do analysis, diagnosis and reports in minutes — clients want “to tie its fees to outcomes achieved” (eg. lower costs, higher revenues, increased market share). One consulting examples is Rolls-Royce: since 2018, the engine maker charges does a “power-by-the-hour” programme, which charges *fixed* fee for every hour an engine is in the air (fee covers maintenance, repairs and replacements costs). Many SaaS firms have also pivoted to outcomes based. Fin’s AI chatbot charges $1 per customer case resolved. iDenfy bills £1 per ID verification. Salesforce now lets users pay per task.

opus has to eliminate its essay-like code comments to meet the bar.

my new favourite anti-slop technique: planning agent estimates how many LOC the new feature should require, with a tolerance threshold. /goal loops until it finds an implementation under the estimate, surfacing after n iterations if it can't be found.

@ItsDave_ADA badge of honour

@hampelman_data @LoafPickle this is wayyy more complex haha

@alexander_codes @LoafPickle code snippets on-chain?

Deploy any GitHub repo to IPFS and mint it as an on-chain NFT in one click. Your site lives forever on Algorand. wen deploy is live 🚀 Try it out: wen.tools/deploy

@hampelman_data @LoafPickle hmmm not that I remember 😂

@LoafPickle . @alexander_codes made something in the same vein (iirc)?

@Dmccallist21829 @effectfully yeah compilers are cool but have you tried maintaining a CRUD app

@effectfully Gang. Not trying to be reductive here... but you're building the most bounded shit imaginable that AI would excel at. I still can't dump business requirements into the LLM and get working software. I still have to solve the problem and tell it how.

Anti-AI midwits would look you dead in the eye and say that what's on the screenshot isn't a complicated enough job or AI isn't any good at it. You're idiots. Like, complete and utter morons who'd stare at trivially interpretable data and keep getting it wrong.

- lower token usage - reusable visual intelligence - deterministic rendering pipelines - agent-compatible styling systems We are witnessing the birth of programmable aesthetics.

People don’t understand how massive this is. You can now separate CONTENT from PRESENTATION. Instead of asking the LLM to generate “beautiful UI”, you just define rules in a separate file: h1 { font-weight: bold; } This changes everything.

@hampelman_data @ganainmtech still faster than cardano

working on analog algorand will run out of paper soon

@leerob plz drop #7 for the good of humanity

How to make your engineering job application stand out (from the perspective of someone looking at hundreds of resumes): 1. Your resume should be one page. If you really need more space, link to a website. You don't need 10+ bullets for each job. 2. You will immediately stand out >90% of applications if you link a personal website that has some intentionality behind it. 3. If you are going to link your X, you might want to clean up your posts? Seems obvious but... people post some wild stuff. 4. You should link your GitHub. Please avoid doing a profile README that looks like a MySpace profile with the badges and images. I'm trying to look at code and your ability to build interesting ideas. 5. You should try to customize your application to the company. If you're applying to a startup, the courses you took in college probably don't matter as much. Maybe more if you're trying to make it through the ATS screening for FAANG. 6. I'm seeing a surprising number of resumes which don't talk about AI or agents at all. Software engineering is changing and it's a pretty fair assumption that you will be expected to learn or understand coding with AI for your job. That should be reflected on your resume and projects (and I'm not just saying this because I'm at Cursor). 7. Take your LinkedIn seriously. Most devs are here hanging out on X but surprisingly still most people will send around your LinkedIn internally. 8. Find ways to show your unique strengths/tastes/interests. It's nice to see people are smart, well-rounded, and thoughtful. Maybe this is a collection of books you enjoyed and why. Or some writing you've done. Or films you liked. At the end of the day, people want to work with other people they like and respect. If nothing else, it will be a good conversation starter ("oh I love [book] as well!"). 9. Do not use AI to write your cover letter or resume text. It's incredibly obvious, especially if you are applying to an AI company. You can still use it to ideate on ideas or phrases, but write it by hand (don't fall victim to the overused in-the-distribution-AI-phrases). See: /humanizer skill. 10. No photos on resumes. Save those for whatever you link out to. 11. Quality over quantity. 3 really good, thoughtful, detailed, interesting projects versus a wall of 27 AI-slop ones. Remember that hiring managers / recruiters are getting hundreds or thousands of applications for a role. They're not going to spend 20 minutes on every single application. You need to cut the cruft and get to the point. I hope this helps you stand out!

@iagadanight sir, this is a Wendy's.

@alexander_codes Have you used the chain not one fucking time has it taken an hour to finalize so no it is bullshit!!!!

I'm sick and tired of the blatant lies, FUD, and propaganda spread by... *checks notes* cardano.org

@QCPOLstakepool who is?

@alexander_codes They're mixing confirmation and finality.

@IOHK_Charles @AlgoFoundation @Algorand

@AlgoFoundation @Algorand One day finality? You guys feeling okay over there???

*Algorand leads Layer-1 blockchains in finality time 🏁

@coinbureau hedge funds are not smart money

Smart money is avoiding US stocks. SPX just keeps printing new highs. 3 straight weeks of hedge funds selling alongside 3 straight weeks of SPX ATHs. Buffett Indicator printed 227%. Above 200% is like "playing with fire". So why is the market still ripping? Full breakdown of the liquidity playbook driving the SPX rally👇

@StuartJRitchie most people didn't read it

-Richard Dawkins writes a delightful, funny, and entertaining article -Everyone hates him for no good reason and decides to massively misrepresent his article in the most smug and humourless way imaginable ^ description of a constant internet occurrence since approximately 2006

@martypartymusic Solana can not run 'any' Rust program.

You were taught crypto very poorly. Public blockchains are global supercomputers. Anyone anywhere in the world can run a program on them and anyone in the world can use the program. Bitcoin supercomputer only runs the Bitcoin ledger. Solana supercomputer can run any Rust program. SUI supercomputer can run any Move program. Ethereum supercomputer can run any Solidity program. The supercomputers are constructed as a distributed set of nodes all around the world and are connected via physical networks to act as one. To stop the supercomputer you have to stop all the nodes all around the world. To run programs on the supercomputers requires gas tokens or "native" tokens to the particular supercomputer. To use the programs the user requires these tokens. These tokens are public and can be used as currency on the supercomputers. Examples of "native execution network" tokens are $BTC, $SOL, $SUI, $ETH. Note: No different from running a AI LLM supercomputers which also requires tokens to run but LLM tokens are not yet tradable or public and represent one word of a AI query. Bitcoin does not have the ability to run arbitrary programs, it only runs the Bitcoin ledger. This means it is not an "execution network". An "execution network" can run arbitrary programs that represent functionality or other token ledgers. Solana, SUI and Ethereum are examples of "execution networks" and are typically called Layer 1 execution networks because they can execute user programs. Now understand all other "tokens" or "crypto" are just programs running on one of these "execution network" supercomputers. StableCoin like USDC or USDT are just programs running on each of the supercomputers. Defi applications and DEX's are just programs running on the supercomputers. Meme coins are just programs running on an "execution network". Anyone can run a program and anyone can use the program. Now you can imagine how these global supercomputers that store and run programs will be used by everyone, institutions and governments will run everything on them and an entire agentic infrastructure will use them. Start to learn what crypto really is. Understand you were PURPOSEFULLY taught it incorrectly. You were the early testers of the supercomputers. Everything we see in crypto today can be thought of as a test. Together with AI these supercomputers will run the world.

@AlgoCloudz @BarcTheShark exactly... could happen on Algorand.

@BarcTheShark Asset managers are allowed to freeze $ claw back asset right? Without deeming a chain centralized?

LOLOLOLOLOL