In a recent LinkedIn post, 🌀 Luca Rossi shares his extensive experience and a detailed case study on leveraging Artificial Intelligence for software development. Rossi emphasizes that he waited to share his insights until he had concrete data, including numbers, tools, costs, and a real-world product, to back up his findings.
Rossi highlights his daily workflow, stating:
“I have been using OpenClaw + Claude Code to ship 150+ commits / day of fully-tested, documented, high-quality code, to build basically an offline version of Notion, to operate the enormous (10,000+) set of notes I use to run both Refactoring and my life.”
The Genesis of the AI Software Development Article
According to 🌀 Luca Rossi, the decision to publish his findings was driven by a desire to move beyond mere opinion. He explains the importance of empirical evidence in understanding the impact of AI in software engineering. Rossi notes the timing of his publication, explaining that the necessary components for a comprehensive study only recently coalesced.
“I waited a long time before writing a piece about it. I wanted to make sure I didn’t have just “opinions” to share, but a full case study: numbers, tools, costs, and actual product I am building and using everyday.”
Key Learnings and Future Implications
The core of Rossi’s recent LinkedIn post revolves around the practical application and learnings from his AI-assisted development process. He has been using AI tools to build a functional offline version of Notion, managing a vast personal knowledge base and supporting his professional endeavors with Refactoring. This project has allowed him to generate a significant volume of code commits daily, ensuring the output is well-tested, documented, and of high quality.
Rossi points out the substantial investment made during this experimentation phase:
“I have learned a lot about AI during this time, spent a lot of money (which I transparently report in the article), and also understood a lot about the future of software.”
As 🌀 Luca Rossi suggests, this hands-on approach has provided him with a profound understanding of AI’s role in the future of software development. While the specific article is linked in the comments of his post, the insights shared on LinkedIn indicate a significant shift in how software can be produced, emphasizing efficiency, quality, and a data-driven approach.
Call for Engagement
Concluding his post, 🌀 Luca Rossi invites further discussion and questions from his network. This open invitation underscores his commitment to transparency and collaborative learning within the tech community regarding the evolving landscape of AI in software creation.
📝 About This Content
This article is based on insights shared by 🌀 Luca Rossi on LinkedIn.
📅 Originally posted on February 25, 2026 | View original post on LinkedIn →