๐จ BREAKING: Claude 4 just made every dev tool outdated.
If youโre building agents, coding copilots or AI workflows - pause everything and read this.
Anthropic dropped code-native super intelligence and itโs wild: ๐งต๐
It finally happened -- thanks to people learning to write AI code, Python is now the top programming language on GitHub!
If you want to learn Python, check out https://t.co/zpIxRSuky4's free course AI Python for Beginners.
Just like with everything else, tools won't give you good results unless you know how, when, and why to apply them.
If you go out and you buy the most expensive frying pan on the market it's still not going to make you a good chef
โ Christin Wiedemann
Using GPT-3.5 in an agentic workflow outperformed GPT-4 in a coding benchmark! Why? Because iterative refinement mimics how humans tackle problems - not in one go, but through continuous improvement.
#MachineLearning#Coding
Agentic workflows:
They're a shift from static AI responses to dynamic, iterative processes.
An AI agent could draft an essay, research, revise, and improve - all in a loop.
Dive deeper into how this works!
#TechTalk#AIagents
By @andrew@sequoia
https://t.co/yFNz3dFyTj
Agentic workflows aren't just about coding.
They apply to planning, reflection, and multi-agent collaboration.
Imagine AI agents acting as coders, critics, and even project managers to solve complex tasks. The possibilities are endless!
"Intelligence is not only the ability to reason; it is also the ability to find relevant material in memory and to deploy attention when needed.โ
โ Daniel Kahneman
Very Indian thing that more than the government deadline to file tax, #ClearTax surge pricing is driving the people to file it earliest
#IncomeTaxReturn#ITRFiling
@leeerob Responsive web design
Network requests
Storage mechanisms
Browser DOM & Events
Also, can you tell which tool are you using to draw these? @leeerob
Ask your users how theyโd feel if they could no longer use your product.
The group that answers โvery disappointedโ will unlock product/market fit.
2. Companies that struggled to find growth almost always had less than 40% of users respond โvery disappointed,โ whereas companies with strong traction almost always exceeded that threshold.