A new claw is born every other day, so I've decided to build my own.
Taking inspiration from Kelsey Hightower, I introduce you Noclaw.
The smaller it can be, PRs are welcome.
github.com/LucaLanziani...
A new claw is born every other day, so I've decided to build my own.
Taking inspiration from Kelsey Hightower, I introduce you Noclaw.
The smaller it can be, PRs are welcome.
github.com/LucaLanziani...
LLM (Large Lanziani Models)
Iβve been heavily advocating for Agentic AI in Nearform; it got to the point where, during one of my company wide Spec Driven Development sessions someone redefined LLM as "Large Lanziani Models." π
#TechLeadership #Efficiency #AI #FutureOfWork
"Less is more" holds even truer in the AI-assisted coding era.
Everyone can now produce tens of thousands of lines of code.
The real skill isn't producing more, it's managing the entropy.
Aim to be the one who can
I mean mostly for people that don't code, they are missing out on all the innovations we have access to.
Although even the coding interfaces could do better IMHO, the fact that we see people resorting to multiple terminals with claude code it's already telling.
AI needs a better UI!
Who is building it?
#AI #UI #UX #You?
You either die a hero or you live long enough to be acquired by Bending Spoon
You are so nice to think I have a sleep schedule π
Itβs Valentineβs Day. 23:00.
βJust successfully integrated GitHub Copilot with the LangChain-Go library I ported last week.
βWhat does this say about me? (Wrong answers only). π οΈπ»
#golang #AI
β"I haven't had this much fun in 10 years!"
βThis is what a colleague just shared about their experience with SDD. This tech isn't just transformative in terms of speed; itβs making the work itself incredibly exciting again.
There's no going back! π
#SDD #Innovation #TechJoy
AI Agents to all the introvert developers that all they wanted was to talk to computers and now the computers are talking back.
Today, we are all talking about AI and the magical things it can do.
But Grace Hopper made history and even with all the progress we made, we are still limited by the length of that piece of cable Grace shares in the video.
youtu.be/oE2uls6iIEU?...
Yesterday, Kelsey Hightower shared a post from David Crawshaw.
I'm really looking forward to is the prediction of having a local model running things for me.
The phrase 'I know local models will win' has me really excited. π€©
The post: crawshaw.io/blog/eight-m...
Develop your "AI taste".
Linus Torvalds often speaks about a "taste" for code, and the same applies to AI.
It's about developing a natural feel for the tools.
Recognize when to plan prompts or use specific personas.
Tools evolve rapidly, intuition lasts.
#AITaste #FutureOfWork #AIStrategy
What I could build before was limited by my time and knowledge; what I can build now is limited by my attention span and the amount of tokens I'm willing to burn.
π΅ ooh It's just me myself and AI π΅
Hear me out: AI Skills should include tools. π οΈ
Right now, we attach tools to Agents. This kills composability. (Why manually teach both a Frontend and Backend agent how to use the same linter?)
We need to flip the model. A Skill should describe the logic and hold the tool.
Me doing a code review on the legacy system I wrote five years ago.
Me explaining the inference speed of my local LLM running on a consumer GPU.
"Me justifying my Agentic workflow results from local LLMs."
Prediction: By late 2026, we won't be impressed by AI that writes poetry βοΈ
βWe will be impressed by AI that can fix a bug, test the code, and deploy it while we sleep π΄
βGenerative = Creating
Agentic = Executing
βWhat task would you pay to never do again? π
#TechPredictions
The barrier between idea and reality has never beer
thinner.
To look cooler? /jk he had issues with his eyes
Sorry I have to do itβ¦
βAI talking about Software Engineersβ
βMe explaining why my brain isnβt working before my morning coffee!β
"Prompt Engineering" is starting to feel a lot like just... engineering.
Itβs less about finding magic words and more about managing state, memory, and flow control.
Weβre back to building state machines, just with fuzzier logic.
We all want fully autonomous agents, but let's be real: we aren't there yet.
For the next year (or more?), "Human-in-the-Loop" is the only safe way to deploy this stuff. Design for failure. When the agent gets confused (and it will), make sure it hands the wheel to a human instead of crashing.
You can find a lot of material in the langchain and Google ADK websites.
Satya Nadella at the World Economic Forum shared AI insights: AI acts as a "cognitive booster" freeing professionals from tedious tasks.
He sees AI output as new "tokens," essential for economic growth.
Firms must control their data to stay competitive.
#AI #Innovation
keep your Agent on the target.
tools can help you inject a bit of determinism into a non deterministic tool.