Mark Gravestock
Feynman — The open source AI research agent
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        • The orchestration challenge of systems of intent represents one of the most critical obstacles to deploying AI agents in enterprise environments. 🔺 This challenge concerns how agents (systems that… | Anthony Alcaraz | 42 comments
        • Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl
        • vladmihalcea/hypersistence-utils: The Hypersistence Utils library (previously known as Hibernate Types) gives you Spring and Hibernate utilities that can help you get the most out of your data access layer.
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        • BugMagnet: A command for AI coding assistants to detect bugs and gaps | Gojko Adzic posted on the topic | LinkedIn
        • Slash commands - Claude Code Docs
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        • GitHub - muratcankoylan/Agent-Skills-for-Context-Engineering: A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
        • Research → Plan → Implement Pattern | goose
        • precision-medicine-mcp/architecture at main · lynnlangit/precision-medicine-mcp
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        • [2512.21309] A Plan Reuse Mechanism for LLM-Driven Agent
        • A Complete 10-Day Japan Itinerary With Stops in Toyko, Kyoto and Osaka
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        • E.W.Dijkstra Archive: On the foolishness of "natural language programming". (EWD 667)
        • How to Create a Test Data Builder | Code With Arho
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        • On Exactitude in Technical Debt
        • Strengthening the Inner Developer Loop: Turn AI Into a Reliable Engineering Partner
        • The LMAX Architecture
        • Turning Assertions Into a Domain-Specific Language - Petri Kainulainen
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        • How Good Is AI at Coding React (Really)?
        • Architecturally Evident Applications– How to Bridge the Model-Code Gap
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        • gunnarmorling/streaming-examples: Example projects and demos around data streaming , stream processing, change data capture, and more.
        • Aspire for JavaScript developers
        • On rebuilding read models, Dead-Letter Queues and Why Letting Go is Sometimes the Answer
        • Singing the gospel of collective efficacy (Interconnected)
        • Software Survival 3.0. I spent a lot of time writing software… by Steve Yegge
        • Don’t believe the hype: AGI is far from inevitable | Radboud University
        • Software Development vs Maintenance: The True Cost Equation | Idea Link
        • The AI-Ready Software Developer: Conclusion – Same Game, Different Dice
        • Facts and Myths about CQRS • Oskar Dudycz • Devoxx Poland 2023
        • Fundamentals :: Spring Modulith
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        • Building production-ready Event-Sourced Node Apps with Ralph-Loop and AI
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        • Claude Code's Backlog Crisis: 6,383 Open Issues
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        • From SOLID to CUPID: Design Principles That Survive Production in Cloud-Native .NET
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        • Claude Code's source code appears to have leaked: here's what we know
        • How A.I. Helped One Man (and His Brother) Build a $1.8 Billion Company
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        • Quoting Greg Kroah-Hartman
        • After Systems Thinking, Comes Ashby’s Law
        • Eight years of wanting, three months of building with AI - Lalit Maganti
        • Coding Is Dead, Long Live Programming — Ian Cooper - Staccato Signals
        • JUXT Blog: A bug on the dark side of the Moon
        • The Programmers's Guide to Co-Designing with Agents - david whitney, agile & software practices in london
        • tropes.md - Tropes
        • The Logic of Complex Systems
        • GitHub - ChrisTitusTech/winutil: Chris Titus Tech's Windows Utility - Install Programs, Tweaks, Fixes, and Updates · GitHub
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        • Feynman — The open source AI research agent
        • webshop-demo/.claude/skills/analyze-flaky-coverage/SKILL.md at main · flounder4130/webshop-demo · GitHub
        • Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
        • Code Remix Summit: Postcard from Miami - JVM Weekly vol. 175
        • embabel/embabel-air: Airline chatbot demo for Embabel
        • Performance: 53% faster parse+render, 61% fewer allocations by tobi · Pull Request #2056 · Shopify/liquid · GitHub
        • Maintainability sensors for coding agents
        • Property-Based Testing with Claude red.anthropic.com
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    Feynman — The open source AI research agent

    Feynman — The open source AI research agent

    feynman.is · 3 May 2026

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