Rasmus Widing
Rasmus Widing is an individual AI product builder, educator, and consultant rather than an organization. He teaches teams and developers how to use context engineering and agentic coding to ship software, and publishes practical material about AI development workflows.
At a Glance
- Software engineers and developers
- Engineering and product teams
- Business and operations teams that use software
- Enterprise teams adopting AI coding workflows
- +2 more
AI Tools by Rasmus Widing
(1)PRP (Product Requirement Prompts)
Claude Code PRD Prompt Toolkit
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Latest News
Published 'You Can't Outsource the Thinking,' arguing that AI coding still requires human planning and judgment.
Published 'AI Coding Predictions for 2026,' including predictions about IDEs, agents, and AI-assisted development.
Published 'AI Training ROI: What to Actually Expect,' outlining expected outcomes from team AI training.
Published 'How to Choose an AI Workshop for Your Team,' describing the training paths and selection criteria.
Products & Services
An open-source, MIT-licensed framework for AI-assisted development. It defines a Product Requirement Prompt as a PRD plus curated codebase intelligence plus an agent runbook, and supplies Claude Code with the context and workflow needed to implement a vertical slice of working software.
Half-day workshops for business and operational teams that use software but do not primarily build it. The sessions teach participants to view workflows as systems, identify work AI can handle, and build solutions without code.
Full-day workshops for software-building teams covering context engineering, working with AI coding agents, and shipping with agents using real development workflows.
Hands-on training specifically for teams seeking to adopt Claude Code and the associated PRP/context-engineering practices.
Market Position
Widing positions his work as a context-first alternative to prompt-only or 'vibe coding' approaches: rather than treating AI as autocomplete, PRP supplies structured requirements, codebase intelligence, an execution runbook, and validation loops. It is adjacent to tools such as Claude Code, Cursor, and GitHub Copilot and is intended to improve how teams use coding agents, rather than being presented as a competing general-purpose IDE or model.
Leadership
Founders
Rasmus Widing
Product professional with approximately 9–10 years in product before focusing on AI; he describes work on fintech apps, insurance platforms, smart lockers, crypto exchanges, banking and neobank products, and micromobility. He led AI work at a German insurance company and says he has shipped more than 15 products.
Founding Story
Widing says he learned to code with AI after working as a product person, beginning to build with AI in late 2022. After experimenting with ChatGPT, Claude, and agent frameworks and repeatedly finding that coding agents lacked sufficient codebase context, he created the PRP approach and began teaching the patterns that worked.
Business Model
Revenue Model
Paid workshops, AI training, coaching, consulting, and custom projects for individuals and teams. The PRP software/framework is distributed as open-source MIT-licensed software; the website directs prospective clients to request a discovery call and says pricing is tailored to the team.
Pricing Tiers
Half-day workshop; pricing is tailored to the team.
Full-day workshop; pricing is tailored to the team.
Available through a discovery call; no public price was shown.
Target Markets
- Software engineers and developers
- Engineering and product teams
- Business and operations teams that use software
- Enterprise teams adopting AI coding workflows
- Individuals seeking AI coding coaching
- Teams interested in Claude Code and agentic engineering
- Shipping production software with AI coding agents
- Turning feature requirements into implementation-ready context
- Building agentic workflows, agents, and small web apps
- Helping engineering teams adopt context engineering and Claude Code
- Finding automation opportunities in business and operational workflows
- Planning, implementing, reviewing, and validating larger software changes with parallel agents
- Cursor
- Proekspert
- StartGuides