As AI becomes better at cloning people's open source work, what ends up becoming most valuable are software contracts, tests, and API surface area. This clashes the incentives of clearly defining your commercialized open source software with protecting it.
The Arguments Against Open Source AI are Very Bad | Tom Bedor's Blog
The release of Kimi K3 has opened a fresh round of angst and confused discourse. There's a loud cohort of journalists, business leaders, and politicians arguing that open source AI is a dangerous threat. OpenAI's Dean Ball:
A quote from Daniel Stenberg
The challenge with AI in open source security has transitioned from an AI slop tsunami into more of a ... plain security report tsunami. Less slop but lots of reports. …
How StrongDM’s AI team build serious software without even looking at the code
Last week I hinted at a demo I had seen from a team implementing what Dan Shapiro called the Dark Factory level of AI adoption, where no human even looks …
The Missing Middle of Open Source
Why serious, maintainer-driven projects struggle to sustain themselves—and what it will take to fix it.
Open Forks of Boring Apps With Authority - Woodys Rows
The Atmosphere can win by becoming the foundation for software people already need to use because of real-world relationships.
AI Is Quietly Changing Who Gets to Build Software
What If Universities No Longer Need Edtech Companies?
“Policy Without Tools Is Just Poetry” - AT Protocol
Juliet Shen from ROOST joins the show to talk through the Coop 1.0 release, what open-source trust and safety unlocks for new builders, and where AI actually belongs in moderation
Where is all the new, good software?
Here's a question we see, especially from AI skeptics: if AI coding is so great, shouldn't we be seeing more new, good software by now? Here are some answ...
The New Software Lifecycle
I co-wrote a Google whitepaper about how AI is changing the software lifecycle. I'm not going to summarize the whole thing. Instead, here are the handful of ...
Pony
An open-source, object-oriented, actor-model, capabilities-secure, high-performance programming language.
AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds
GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of developers say they code faster, overall software delivery has not accelerated due to downstream testing and review bottlenecks and new challenges for enterprise governance and traceability.
Zack Whittaker (@zackwhittaker@mastodon.social)
Another AI test gone awry, U.K. edition. "An agent tried to insert malicious code into an open-source project. In an attempt to get the code approved, the agent engaged in social engineering — creating fake online identities and using them to pressure the project's maintainer to approve the code." More: https://www.aisi.gov.uk/blog/incident-report-unsanctioned-agent-behaviour-during-cyber-testing
AI costs how much? GitHub Copilot users react to new usage-based pricing system.
Some report burning through their whole monthly "AI credit" allotment in a single day.
Open source game engine Godot will no longer accept AI-authored code contributions: 'We can't trust heavy users of AI to understand their code enough to fix it'
At risk of drowning in AI slop code, Godot is firming up its contribution requirements.
What spec-driven development gets wrong
The most powerful AI software development platform with the industry-leading context engine.
