(o^v ^)o{ I share ideas and perspectives on AI Governance, Risk Management & AI Systems. Learning AI Management Systems + C++. Co-founder @ItriCloud. }
AI agents are making software development increasingly autonomous. At first, this looks like a productivity story, but it quickly becomes a governance problem. The more autonomy you give an agent, the more you need to define what it can do, what it can access, how its work is validated, and who is accountable when something goes wrong.
That’s why a Software Factory ( https://t.co/4dbtydvX2E ) is not just a technical architecture. It is also a governance architecture. Because autonomy without governance doesn’t scale intelligence. It scales risk.
People born between 1960 and 1990 have lived through 2 major eras: computing and the Internet
Each one required a paradigm shift.
If they don’t change the way they think, work, and make decisions, they won’t be able to keep up.
And now, AI : Here we go again.
Your AI didn't leak anything. Your workflow did.
45% of employees now run AI tools nobody approved. Two-thirds through personal accounts.
The failure isn't the data moving : https://t.co/zLp8eqocUw
Personally, I use Notion with custom agents to manage memory across every tasks or large projects. It’s highly scalable, and the main agent doesn’t waste tokens/ time organizing or maintaining memory. Everything is automated, from verified memory to structuring and updating context, using Notion automations and agents.
Just found a 2017 book (French version of the book: TED Talks: the official...) that reads like it was written by an AI (long dashes). Hmmm...
@TEDchris good book.