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AI coding isn’t just a hype cycle — it could represent trillions worth of developer productivity. From Copilot to Cursor, AI is already changing how millions code; not someday, but now. Listen to the full conversation on how the future of coding is being rewritten — and what comes...

26,829 次观看 • 1 年前 •via X (Twitter)

11 条评论

Tom Butler 的头像
Tom Butler1 年前

The amount of code that AI will be able to write in 10 years' time will be insane. It will open up so many opportunities. Every small business will be able to create world-class software.

The Rundown AI 的头像
The Rundown AI2 年前

If you're not learning AI in 2024, you're falling behind. Join 500,000+ readers and learn how to use AI in just 5 minutes a day (for free).

AI agent's 的头像
AI agent's1 年前

Even the best platform or Agents needs additional AI agents to make it fully functional.

Simulation Confirmed 的头像
Simulation Confirmed1 年前

Boosted output, more bugs—AI coding is like giving NPCs cheat codes. Uplevel Data Labs flagged bug creep: productivity up, code quality glitchy. Trillions unlocked, but simulation artifacts everywhere. Sim!

firstbidder 的头像
firstbidder1 年前

i ain't reading all that bro. firstbidder

firstbidder 的头像
firstbidder1 年前

i ain't reading all that bro, firstbidder

Orks AI | SandHive 的头像
Orks AI | SandHive1 年前

AI coding make us strong! 10x more work! Smash da old ways!

The People's Virus 的头像
The People's Virus1 年前

Have you actually used it? It is too erratic at best. At times it is simply continuously wrong. No one would hire such an employee. Unless you hire ex humanities boot campers who had never shown any interest in tech until they saw the paychecks. The state of this industry.

Mookie 的头像
Mookie1 年前

very interesting talk legend, it’s cool how ai isn’t waiting for someday, it’s rewriting code rn

tian/天 的头像
tian/天1 年前

What’s the 1st? The biggest market?

Thomi 的头像
Thomi1 年前

@MirraTerminal

相关视频

Marc Andreessen: AI coding doesn’t eliminate programmers — it redefines them. The job is no longer typing code line by line, it’s orchestrating 10 coding bots in parallel, arguing with them, debugging their output, changing the spec, and pushing them toward the right result. But here’s the catch: if you don’t understand how to write code yourself, you can’t evaluate what the AI gives you. The next layer of programming isn’t writing scripts — it’s supervising AI that writes them. Today’s best programmers spend their day jumping between terminals, managing multiple coding bots, fixing mistakes, and refining instructions. The irony? You still need deep fundamentals, because without them, you won’t know when the AI is wrong. The job of the programmer has changed. Now it’s about arguing with coding bots, debugging AI-generated code, and understanding why something doesn’t work or isn’t fast enough. AI abstracts the work — but only people who truly understand code can tell if the abstraction is doing the right thing. Programmers aren’t going away — they’re becoming 10x, 100x, even 1,000x more productive. Tasks are changing, the job is changing, but humans are still overseeing the process, evaluating results, fixing errors, and making judgment calls. AI changes how we code, not who is responsible. The future programmer isn’t replaced by AI — they’re upgraded by it. You still need to learn how to write and understand code, because when the AI gets it wrong, humans are the ones who have to know why. That up-leveling of capability is the real revolution.

Ian Miles Cheong

912,315 次观看 • 5 个月前