Of the thousands of essays over the past two years surrounding AI and its implications are some very thought provoking ones with enormous implications for GIS. Some of the essays are around the the…
The Git-ification of the World — Tim Morrissey
Why AI conquered software first, and what that tells us about which industries are next.
Is there something it is like to be an AI?
Posted on Wednesday 2 Jul 2025. 1,593 words, 6 links. By Matt Webb.
AI coding wisdom from the people who would know
Essays and threads from experienced developers who've gone deep on AI-assisted coding.
Request for Proposals: The Launch Sequence | IFP
Apply to our rolling effort to find, scope, and build the most important projects to prepare the world for advanced AI
The Scaling Era: An Oral History of AI, 2019–2025
An inside view of the AI revolution, from the people an…
Git AI - Track AI Code all the way to production
Cross-agent observability from prompt to production. Track AI-generated code from Cursor, Claude Code, GitHub Copilot, Gemini, and more through the entire SDLC.
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 ...
How we use AI at Stalwart
It is difficult to have a conversation about software in 2026 without AI showing up in it. Two years ago the interesting question was…
Gitpod is now Ona: your AI software engineer
Launching the mission control for your personal team of autonomous SWE agents.
Gitpod is now Ona: your AI software engineer
Launching the mission control for your personal team of autonomous SWE agents.
Large AI models are cultural and social technologies
Implications draw on the history of transformative information systems from the past , Debates about artificial intelligence (AI) tend to revolve around whether large models are intelligent, autonomous agents. Some AI researchers and commentators speculate that we are on the cusp of creating agents with artificial general intelligence (AGI), a prospect anticipated with both elation and anxiety. There have also been extensive conversations about cultural and social consequences of large models, orbiting around two foci: immediate effects of these systems as they are currently used, and hypothetical futures when these systems turn into AGI agents—perhaps even superintelligent AGI agents. But this discourse about large models as intelligent agents is fundamentally misconceived. Combining ideas from social and behavioral sciences with computer science can help us to understand AI systems more accurately. Large models should not be viewed primarily as intelligent agents but as a new kind of cultural and social technology, allowing humans to take advantage of information other humans have accumulated.
How building software is changing at Anthropic
A deepdive on what’s changed in how the leading AI lab makes software. Ever more code review and testing is done by AI, two-pizza teams very much alive, and more. Details from inside of Anthropic
The Transformation of Documents: Repositories Are the New Unit of Knowledge Work
How will documents evolve when AI agents become ubiquitous? In a world of AI agents, does the repository become the source of truth—where humans declare intent, agents turn it into executable artif…
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.
As promised, we’ve created a policy document outlining our thoughts on AI and agentic coding (AI for software development). We’re releasing a vote later this week for Blacksky community members to offer their feedback. We look forward to hearing from you all.
Blacksky Algorithms' Policy Towards Agentic Coding
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