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Converged databases for AI: Oracle's talk at Startup Summit 2026 and what it changes in practice
Vectors, JSON, graph, relational and text search in the same engine. That was Oracle's topic at Startup Summit 2026. The question is when it's worth it and when it's dead weight.
Software by company size: what changes between small, mid-size and large companies
The software problem isn't the same at a 15-person company, a 120-person company or a 2,000-person company. What changes is the risk of getting it wrong, the team that will maintain it, and how you hire for it.
AI agents left the pilot stage: what changes when they enter operations
2025 was the year of the demo. 2026 is the year the agent has to get it right at 2am, with no one watching.
"It was the AI" isn't an answer: accountability on an AI-native team
When an agent makes a mistake with a client, someone has to answer for it. Deciding who, before it happens, is what separates an AI-native team from a team that just uses AI.
Engineering support: why internal teams outsource an entire front
It's not a shortage of good people. It's that the good people you have are busy maintaining what already exists.
ERP integration stopped being a separate project
For years, "integrate with the ERP" was the budget line that blew up. ERPs with a decent API changed that — but they didn't solve everything.
What Tensoor is (and isn't)
AI-native software house, a small senior team, and a model where the service funds the product. What that actually means.
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