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The New Stack | DevOps, Open Source, and Cloud Native News

Agentic development hinges on verification. For cloud-native software, that is a runtime problem. AI agents need infrastructure: Why Europe’s regional cloud strategy matters Transform your AI coding agent into a deterministic Java Spring expert WeAreDevelopers is coming to the US to give unsung developers a bigger voice Cleaner AI training data, fewer bugs: Sonar’s SonarSweep explained Observability overload is drowning engineers Google’s DiffusionGemma is 4x faster than its other Gemma models Fable 5: Guardrails and burn rate are annoying users, who say it’s still better than Opus 4.8 The Anthropic leader who built Claude Code says he ditched prompting — now he just writes loops. AWS can now mathematically prove your VMs are isolated Microsoft pulled 73 GitHub repos after malware attack — but still won’t say who’s compromised Databricks wants to kill the “email me a file” problem for AI agent skills Ramp bets forward deployed engineers can do what off-the-shelf finance AI can’t Git real: AI agents aren’t just for solo developers anymore Anthropic launches Claude Mythos/Fable 5, but you better try it soon Spring is 23 years old. AI just made it a security emergency. This AI agent startup ditched Anthropic for DeepSeek — and says it’s saving millions When your data model is the bottleneck: lessons from Medium’s feature store How long before we stop reading the code? The tokenmaxxing party is over, and Revenium is mopping up How AI is solving the memory crunch it created Microsoft’s pitch to enterprises: Ditch Azure Repos for GitHub, despite its rocky reliability record Claude Code’s biggest upgrade yet ran 5 agents at once — here’s what happened Why Anthropic just doubled Claude Cowork limits at no charge For years, Apache Cassandra handed this work to your team — 6.0 takes it back “A dangerous combination”: The 2 factors that can “corrupt” AI agent workflows With Foundry, Microsoft bets the enterprise AI battle is about reliability, not capability Microsoft unlocks Visual Studio for developers left behind by its own AI AI teams now deploy 1,000 times a month. Your pipeline wasn’t built for that. Microsoft just made the agent runtime free — and kept everything around it
Why MotherDuck refuses to fork DuckDB
Alex Wilhelm · 2026-05-28 · via The New Stack | DevOps, Open Source, and Cloud Native News

During the recent MCP Dev Summit North America held in New York City, The New Stack sat down with Till Döhmen, MotherDuck’s AI lead, to discuss how MotherDuck started its MCP journey and how even non-technical workers at the startup can now use agents to interact with their own data rather than relying on dashboards.

MotherDuck, a startup backed notably by Tomasz Tunguz and able to hire the inimitable Carly Spoljaric, is commercializing the popular open-source DuckDB analytical database.

But more interesting were Döhmen’s comments on how MotherDuck liaises with the DuckDB foundation, which warehouses — pun intended — DuckDB IP and leads the open-source project itself. 

“We have a very close collaboration with DuckDB Labs … specific things that should be added to DuckDB.”

“We have a very close collaboration with DuckDB Labs,” Döhmen said, explaining that if there are “specific things that should be added to DuckDB,” MotherDuck can go and talk to the open-source maintainers about expanding the core project.

Why is that useful? Because, as Döhmen explained, his startup operates “the largest fleet of DuckDB databases in the world,” allowing MotherDuck to stretch the limits of what the database can handle. That information is gold to the folks keeping DuckDB up to date in our era of ever-larger datasets and heavier, more frequent analytical runs.

Blast from the past: TNS covered MotherDuck in 2023, noting at the time that the startup had “undergone three rounds of funding in approximately 15 months,” raising around $100 million in known capital in the process.

Enter commercial tension: TNS wanted to know what was stopping the startup from improving DuckDB on its own, rather than federating information back to the foundation in charge of the core project — why not hoard that information and potentially offer a more differentiated product?

Rude, yes, but I was curious. Döhmen was emphatic that his company was not interested in forking DuckDB. Instead, he explained that MotheDuck takes advantage of DuckDB’s extensibility to amend it as needed without issue (specifically citing its query planner).

“But if we encounter things that happen that are inductively core that we would like to change,” it’s a different story, he said.

It’s not rare to see companies built atop open-source projects. Databricks was founded by the team behind Apache Spark. Comfy was born out of an open-source project, and recently raised a $30 million round. The list goes on.

But those successes politely obfuscate the back-and-forth between commercial arms that take an OSS project to market and the folks doing the messy work of maintenance and improvement.

“It’s a partnership, a dance between two groups with very different bosses.”

It’s a partnership, a dance between two groups with very different bosses. Still, it seems that, as with Databricks, MotherDuck is able to both drive market adoption of open-source software and achieve venture-attractive growth.

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