Mario Christian

Built a CLI tool that answers questions about your API spending in plain language. Fed it my logs, asked three questions. It told me I was overpaying, using Opus for tasks Sonnet could handle much cheaper. GitHub: github.com/mccode86/ai-co… #Python #AnthropicAPI #AIEngineering #LLM

@Jayyanginspires The sharpening is the work. A well-crafted prompt doesn't just save time, it forces you to understand exactly what you want. Most people skip that part and wonder why the output is off.

Give me 6 hours to complete a task, and I will spend the first 4 hours sharpening the prompt.

@pmitu Depends what you're building. For technical credibility and real-time conversations in AI, X wins. LinkedIn is where you go after you've already built the reputation.

LinkedIn connections > X followers

@TTrimoreau Because building the frontier is more interesting than monetizing it.

If anyone can make $1M a month using Anthropic Claude. Why are the engineers who built it still working at Claude ?

@btw_iamShreyaa Both, but for different reasons. Writing it manually builds the instinct to read and judge AI output. Without that, you can't tell when it's wrong. And it is wrong, sometimes confidently.

As Claude, Codex and other LLM's getting smarter every day Is learning to code manually still worth it? - Or is understanding the concepts enough now? 👀 Genuinely asking 👀 !!!!!

@zavxai And the cat doesn't even look stressed. That's the part that gets me lol 😂

Me: writes the first 10%. Claude Code: finishes the remaining 90% in 20 minutes.

@SakshiSugandhi Genuinely curious about the logic here. Starting with a weaker tool to build habits, then upgrading? Or something else? Because I'd argue learning with the best tool from day one sets a higher baseline for what "good" looks like.

Unpopular opinion: Learn debugging with Grok or Meta AI first. Then move to Claude or Codex. Thank me later.

@FrankSellhausen @paulg Always the outsiders. Too small to defend the old model, just hungry enough to build the new one.

@mc_code_ @paulg Spoiler alert: it’s typically not the large established companies that figure this out. It’s usually the small nimble companies that aren’t bogged down by bureaucracy.

If big companies can't make a net return on their LLM token costs, that doesn't mean it's impossible to. In fact this is exactly what you'd expect to happen with a new technology. Incumbents can't use it well, and are replaced by upstarts who can.

@github Where beats meet bytes. Studio desk counts, right? 😁

Not all great work happens at a desk. Where's your go-to spot? Show us 📸

@SahilBloom The hardest part of learning something new isn't absorbing the knowledge. It's unlearning the assumption that you already know how things work.

I'm convinced that adaptability is the highest form of intelligence. Knowledge matters, but the ability to learn and unlearn matters more. To change your mind in response to new information. The rigid cling to what was. The adaptable adjust to what is. The future belongs to them.

@GaryMarcus The gap between "we think a pause would be good" and "we are pausing" is where all the interesting corporate behavior lives. Not just Anthropic.

Funny how so many people read Anthropic is calling for a pause when they did NOT actually call for a pause. Read what they said, carefully. They want it both ways. They *don’t* actually want a pause - at least for now. Rather, they want to rush ahead, hinting at “least cautious actors” for justification. Instead, they want people to talk about an “option” they don’t actually plan to take, and are unlikely to ever take. (More likely, they will like always hint at China, and continue rush ahead.) It’s an incredible, cost-free piece of rhetoric — perfectly timed for the IPO.

@vishaltweetup Opus 4.8. Not because GPT-5.5 is bad, but because I've built my workflow around Claude's reasoning style. Switching has a cost that benchmarks don't measure.

As a developer, which one are you choosing? - GPT-5.5 - Claude Opus 4.8

@PeterDiamandis I'm learning AI engineering from scratch with no CS degree. Just Claude, consistency, and real projects. The credential gap is closing faster than universities want to admit.

Hot take: Universities charge $300,000 for a degree that teaches you skills any LLM can do for free. At some point we need to have an honest conversation about whether higher education is the greatest individuals misallocation of capital in recent history.

@PhysInHistory Wanting something. AI can optimize for a goal you give it, but it can't want anything on its own. That gap might be the most important one.

In what ways do you think AI will never surpass human intelligence? ✍️

@dancolta @paulg Exactly. The throwaway script that stuck is usually the one solving a real problem. Intention had nothing to do with it.

@mc_code_ @paulg i started it as a throwaway script to cut linkedin noise, thought i'd use it twice and bin it, 4 months later it's the main thing i've consistently shipped

Sam Altman deserves credit for YC's turn toward hard tech. When he became CEO in 2014 he went out and recruited companies doing stuff like airliners and fusion, and hard tech startups have been some of the best in every batch since.

@chrislutzxy Fair point on Cowork. The desktop automation angle is where Hermes has a real argument.

@mc_code_ I agree for the most part, but Claude Cowork could be replaced with Hermes entirely I think.

When would you replace #Codex or #Claude with #Hermes?

PyCharm on the left, Ableton on the right, same screen. Guess how much RAM I'm running?

@thdxr Token count as a productivity metric is wild but it actually makes sense. The days you're thinking hardest are the days you need to talk it through most.

even if i'm not actively shipping code i'm constantly talking to opencode to think through ideas you can see on days where i'm busy with company stuff my token count goes down so unfortunately this is a good measure of something

@SahilBloom Deciding to learn something completely outside my comfort zone at 39. Music producer going into AI engineering. The discomfort was the point.

What was the single best investment in yourself you’ve ever made?