Meta spent billions trying to get your attention.
Anthropic did it with a coding tool , how come?
Meta spent billions trying to get your attention.
Anthropic did it with a coding tool , how come?
"What do you want me to do? Cleaning up the team and doing it myself, will be faster"
Claude being honest with itself 🤣
"What do you want me to do? Cleaning up the team and doing it myself, will be faster"
Claude being honest with itself 🤣
Give it access to your logs, metrics, and source code. Ask it "why is this service slow?"
Watch it pull data, correlate events, and point you to the exact line of code. Even better? let it do automatically 🤯
Give it access to your logs, metrics, and source code. Ask it "why is this service slow?"
Watch it pull data, correlate events, and point you to the exact line of code. Even better? let it do automatically 🤯
Incident → agent investigates (logs/metrics/source code) → points at root cause → suggests fixes → writes post-mortem.
LLMs are imperfect today, but give it a few years (or months?), they'll do that easily.
Incident → agent investigates (logs/metrics/source code) → points at root cause → suggests fixes → writes post-mortem.
LLMs are imperfect today, but give it a few years (or months?), they'll do that easily.
Coding agents don't just help developers—they enable entirely new kinds of products.
- Traditional: Product decides flow → user follows
- Agent-native: User states what they want → agent figures it out
I just wrote about it 👇
Coding agents don't just help developers—they enable entirely new kinds of products.
- Traditional: Product decides flow → user follows
- Agent-native: User states what they want → agent figures it out
I just wrote about it 👇
I spent 4-5 hours stuck on a silent error with no output. Claude Code couldn't see it.
Codex found it in 10 minutes.
It somehow traced the issue even with zero error output. Worth trying when you're stuck.
I spent 4-5 hours stuck on a silent error with no output. Claude Code couldn't see it.
Codex found it in 10 minutes.
It somehow traced the issue even with zero error output. Worth trying when you're stuck.
if LLm isn’t doing (at least) 80% of your work today, you’re probably not doing it right
x.com/karpathy/sta...
if LLm isn’t doing (at least) 80% of your work today, you’re probably not doing it right
x.com/karpathy/sta...
• Jake Paul: $40M
• Tyson: $20M
• Chappelle: $24M
• Tom Brady: $25-30M
One guy free solos buildings where a slip = death. The others punch or joke.
How much should he have been paid?
• Jake Paul: $40M
• Tyson: $20M
• Chappelle: $24M
• Tom Brady: $25-30M
One guy free solos buildings where a slip = death. The others punch or joke.
How much should he have been paid?
No prompts. Just README + skills. Your app become a list of README files, and figures things out.
The really cool part: non-devs can modify the skills themselves. 🤯
That's @badlogicgames's coding-agent project
No prompts. Just README + skills. Your app become a list of README files, and figures things out.
The really cool part: non-devs can modify the skills themselves. 🤯
That's @badlogicgames's coding-agent project
Building was always the easy part. The hard part is keeping it running for years.
The first 90% is a demo. The other 190% is engineering.
Building was always the easy part. The hard part is keeping it running for years.
The first 90% is a demo. The other 190% is engineering.
It calls tool chains, browses your files, and with skills? Mindblowing.
That's why clawdbot is blowing up right now.
I barely open the chat apps anymore.
It calls tool chains, browses your files, and with skills? Mindblowing.
That's why clawdbot is blowing up right now.
I barely open the chat apps anymore.
Every project you ship with LLMs right now is subsidized by VC money. The tokens powering your app, your code assistant, your AI features—all priced below cost.
How long will this last?
Every project you ship with LLMs right now is subsidized by VC money. The tokens powering your app, your code assistant, your AI features—all priced below cost.
How long will this last?
It knows Buffer's 100M+ post analysis, my learnings, X's algorithm tips—personalized per network.
A LinkedIn post shouldn't sound like an X post.
What would you add?
It knows Buffer's 100M+ post analysis, my learnings, X's algorithm tips—personalized per network.
A LinkedIn post shouldn't sound like an X post.
What would you add?