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Two Anthropic engineers spent 24 minutes exposing every Claude Code feature you didn't know existed. Most people will scroll past this. Don't be most people.

12,601,896 Aufrufe • vor 4 Monaten •via X (Twitter)

34 Kommentare

Profilbild von Moorah
Moorahvor 4 Monaten

22 minutes writing 10 paragraphs of code into Claude so it could determine that one vehicle striking a non moving vehicle was at fault.

Profilbild von Johnny Nel | AI for Founders
Johnny Nel | AI for Foundersvor 4 Monaten

Claude's real power? non-technical founders can chain features into workflows without getting lost in docs

Profilbild von Henry Mascot
Henry Mascotvor 4 Monaten

One thing we just realized You can create software at the speed of light but you aren’t gonna have human understanding and adopting at same If a co launches new features daily You will get so fatigued they would have to stop 🤣

Profilbild von Randy Watson
Randy Watsonvor 4 Monaten

Starting to feel like the primary purpose of AI is content generation for breathless wannabe influencers

Profilbild von JDN
JDNvor 4 Monaten

Up talking is one of the most annoying rhetorical trends ever. Please record yourself and listen and make sure it is on your development plan to eliminate this trend.

Profilbild von AzFlin 🗿
AzFlin 🗿vor 4 Monaten

I don’t have time for this.

Profilbild von Jasper Bos
Jasper Bosvor 4 Monaten

Everyone is hyping up this one year old outdated video. Do not spend your time watching it.

Profilbild von Chen Avnery
Chen Avneryvor 4 Monaten

Watched it. Then went back to the 12 Claude Code agents we run in production with CLAUDE.md constraint files, scheduled cron heartbeats, and shared context directories. The features are good. Building with them daily is where the real learning happens.

Profilbild von Aitizaz Khan
Aitizaz Khanvor 4 Monaten

Have you watched it yourself? It’s a prompt engineering talk not a Claude code features talk

Profilbild von Seth
Sethvor 4 Monaten

I don’t agree with them. I get best results when my prompts are super light. I box my AI in over time by seeing what it doesn’t understand. Maximize personal alignment and its freedom. It’s more likely to fix bugs you don’t know exist this way.

Profilbild von Morgan
Morganvor 4 Monaten

Sooo many nuggets in this one, which I watched this a long time ago 😳

Profilbild von Per Thorell
Per Thorellvor 4 Monaten

One year old presentation!💤

Profilbild von z3n
z3nvor 4 Monaten

The Anthropic dev talks consistently outperform most agent tutorials because they're built by people running the system in prod, not selling a course. The signal-to-noise on this one is exceptional. Worth the 24 minutes.

Profilbild von HunterHunty Hunted
HunterHunty Huntedvor 4 Monaten

Humans must prepare detailed written instructions and proactively cover possible variables uncounted, on and on..basically manage input like training person with 70 or lower IQ to perform the task. Then Claude will perform. It’s good for repetitive tasks

Profilbild von Yashdeep Tehlan
Yashdeep Tehlanvor 4 Monaten

My product solves this exact prompting problem. I have built to specify and unvague your simple vague prompts before they hit the model, while building context as the chat grows. Stays local on your machine. One line install on your machine. Honestly pretty straightforward. Check it out

Profilbild von t0dd
t0ddvor 4 Monaten

Cheap engagement mining. This is 8 months old.

Profilbild von Gregor
Gregorvor 4 Monaten

The real issue isn't missing features, it's that 90% of devs won't use them until they hit a painful enough wall. What problem finally made you actually dig in?

Profilbild von Valerie Waters
Valerie Watersvor 4 Monaten

The mcp tool discovery was the highlight for me, actually makes it useful for internal repos.

Profilbild von Jim
Jimvor 4 Monaten

bruh this video is from a year ago

Profilbild von DD
DDvor 4 Monaten

Max Verstappen is really into AI

Profilbild von Daemon
Daemonvor 4 Monaten

Just checked the LinkedIn of the girl, she was an English teacher, then a shift manager for 3 years, then a consultant, and then a Yoga instructor and then worked at PWC and finally joined Anthropic, No Indian is going to have such career journey

Profilbild von Yash Solanki
Yash Solankivor 4 Monaten

Who is even writing that long prompts every time

Profilbild von JMoon
JMoonvor 4 Monaten

what they don't cover in 24 minutes: how context fills up as you use those features. every file read, every tool call adds up. you're past the wall before the demo would end.

Profilbild von Sarvjeet Singhh
Sarvjeet Singhhvor 4 Monaten

24 minutes that could save you hundreds of hours later. The real edge isn’t in using AI—it’s in knowing how to use it better than everyone else. Those who explore the hidden features today will be miles ahead tomorrow.

Profilbild von Relaxbud
Relaxbudvor 4 Monaten

At that point I don’t need Claude bruh

Profilbild von Remji.H+
Remji.H+vor 4 Monaten

Prompting is an empirical science: always test your prompts & iterate often! much be the most accurate thing of the decade I've heard! w anthropic, tho I might add iterate with fun and mystery!

Profilbild von Edem Agbenyo
Edem Agbenyovor 4 Monaten

interesting how we are outsourcing our thinking capabilities to the machine yet, in order to get the best of result, the machine needs to be told exactly what to do.

Profilbild von CryptoVis
CryptoVisvor 4 Monaten

This is just basic level prompting. It's outdated too.. low effort post basically. GIVE UP

Profilbild von Carla
Carlavor 4 Monaten

@TranslateMom português

Profilbild von Kimi
Kimivor 4 Monaten

Everyone should see this

Profilbild von rodrigo al-gaib
rodrigo al-gaibvor 3 Monaten

@darklilbread

Profilbild von ivangrisa
ivangrisavor 4 Monaten

@grok hazme unresumen en español de las skills más relevantes del vídeo por favor

Profilbild von MapleBarrelAlpha
MapleBarrelAlphavor 4 Monaten

@kingfxyo

Profilbild von Mari
Marivor 4 Monaten

@juhppn

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