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Open Source AI · Open source shifting from code distribution to prompt/skill sharing for LLM training
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AI Infrastructuretailwindscore 9/10miguel
Software 2.0 transition: codebases becoming prompts + context + skills
The industry is transitioning from Software 1.0 (deterministic code) to Software 2.0 (prompts, skills, context files executed by LLMs). Companies will maintain prompt/skill repositories ins…
Model providers subsidizing inference 10-13x to own the application layer
Anthropic (Claude Code) and likely OpenAI are pricing consumer coding products far below API costs (13x subsidy) to drive adoption and lock in developers. This vertically integrated model t…
AI Coding Agentstailwindscore 8/10miguel
Code review becoming the bottleneck as AI generates 10x more PRs
AI coding agents have shifted the bottleneck from code generation to code review. Factorial sees 150+ PRs pending review (up from 30) because human review doesn't scale. They are investing…
Enterprise AI Adoptiontailwindscore 8/10edu
AI-native product development: generating UIs on-demand per user request
Factorial's 'One' agent generates custom dashboards and analytics UIs in real-time from natural language queries, moving from pre-built deterministic screens to generative UI. This reduces…
Open Source AImixedscore 7/10adria
Open source shifting from code distribution to prompt/skill sharing for LLM training
Open source value is evolving: using standard frameworks (React) gives advantage because LLMs are trained on them. Future open source will be shared prompts, skills, and context files that…
Developer Toolstailwindscore 7/10miguel
Auto-research agents running nightly optimization experiments across entire codebase
Factorial is deploying 'Auto Research' (inspired by Karpathy's repo) where agents run hundreds of parallel experiments overnight (performance, structure validation, etc.) and submit PRs wit…