I recently wrote about how [ProteusAI is moving from building a tool to an Operator](https://medium.com/@walecloud/2025-reflection-we-stopped-building-a-tool-and-started-building-an-operator-26a55f3da9ac) and OnBuddy being the Autonomous Worker Operator that the world truly needed to get past the frenzy of merely AI assisted softwares and tools.
Despite claims from Big AI tech execs, we're nowhere near Artificial General Intelligence. Current LLMs excel at pattern matching but lack the core traits that defines General Intelligence. True AGI requires more than benchmark scores - it demands cross-domain environmental success, robust adaptation to novelty, and self-directed learning. While we're beginning to see early steps toward agentic systems through MCPs tool calling, these are brute-force approximations for a semblance of agency. The path to AGI will require AI systems that operate with high agency across unfamiliar domains with minimal supervision, a capability that remains fundamentally out of reach for today's LLMs.
The Year We Stopped Building a Tool and Started Building an Operator. As we close out 2025, I want to share the most important lesson we learned this year building OnBuddy, and why it's changed everything about how we think about workplace technology.
Tuesday, November 11th found me back at Reboot Hackathon, this time in Edinburgh. It was an all day affair from 8:30AM to 6:30PM of pure energy, brainstorming, building, debugging, and that familiar hum of engineers in flow state.
Cost optimization is definitely not one of the things you should be focused on as an early stage startup yet to raise funds, still finding (PMF) product market fit. tech infrastructure scaling usually rings your door bell when the time is near, you however need to know when and how to respond.
Artificial Intelligence rave and wave decluttering - I have been sitting on this thought about Artificail Intelligence and how we've and still adapting to this big step in the journey of creating a near human level form of intelligence, i argue that we've definitely created a knowledge bank greater than one any human would be capabale of.
What if I told you the most critical battles in software engineering aren’t fought in code repositories, but in meetings? These are the arenas where time either dies a slow, agonizing death or emerges victorious with a clear decision in hand. Engineers love to hate meetings, but the truth is, meetings aren’t the enemy. But if your engineering team’s calendar looks like a Jira board after a production outage, overloaded, chaotic, and littered with unresolved dependencies—you’re not having meetings. You’re hosting a recurring funeral for productivity.
Getting tweets and tweets data (dates, like_count, retweets) etc from Twitter is easy as logging into the micro-blogging platform and taking any tweet you want from any publicly available account. This makes sense if one is only interested in a tweet or at most less than 10 tweets from a single account. it becomes a hassle when you need to fetch tweets from multiple users or a significant number of tweets.
Structuring your frontend application can become tricky as your product and codebase grows, In this post, I will be sharing what I have found to a working solution for almost any kind of Frontend project size.
Accessing previous value of props or State with useRef hook in React.
A quick retro of what happend with Yutars.
No pressure.
Friday 3pm EST 20th of August 2021 was the last moment I stopped being a Namely employee after 1.8 years at the company.
Hello there! I hope you were able to get your feet wet with previous posts on web development front-end.
There is no question that contactless payment is becoming the new norm pretty much everywhere, with consumers eagerly embracing the speed and convenience of 'tap-to-pay' technology.
The term Big Data is used almost anywhere these days; from news articles to professional magazines, from tweets to YouTube videos and blog discussions.
