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Griffin Hilly Publishes Claude Code Setup Built From Saved Bookmarks

One Claude Code Setup to Rule Them All

Griffin Hilly presents a Claude Code workflow distilled from bookmarked posts, including a CLAUDE.md operating model with plan-first protocols, orchestrator-first delegation and dialectic reviews. The setup is published as a GitHub repository for others to clone.

Original post · 5 min read
X ArticleOne Claude Code Setup to Rule Them All
You've seen the X articles.
Maybe you've downloaded Claude Code but you weren't sure where to get started.
You saw @Karpathy's post about auto-research but you're not sure if you have anything interesting to research.
You saw a bunch of tweets about things to add to your CLAUDE.md, but then you saw another saying your CLAUDE.md was too long and should be cut down to basics.
You're lost and you don't know what to do.
This is the tweet for you.
I've read all those tweets for you. Or more accurately, I've read some of them and my Claude has read them all. And my Claude distilled all of that into a single, simplified workflow that you can copy for yourself.
Just clone this repository and you're good to go: github.com/griffinhilly/claude-code-synthesis
Alternatively you can have your Claude do it for you.
Every week I download all the bookmarks I've saved and have my Claude read them. We consider adding anything we don't have already in our workflow. Your Claude can do the same.
Here's what Claude and I have found:

The Operating Model (CLAUDE.md)
The single most important file. Copy it to ~/.claude/CLAUDE.md and it changes how Claude approaches every task. Here's what's in it:
Leverage Doctrine. You do the thinking. Claude does the doing. You ideate, decide, and steer. Claude researches, implements, and executes. When uncertain, it surfaces options with tradeoffs instead of deciding silently.
Plan-First Protocol. Every task starts with: what's the objective? How will we know it worked? What are the sub-tasks? Research agents plan, implementation agents execute. Never both.
Scope Discipline. Claude pushes back on ambitious plans. "This is a 3-session project. Want to start with just X?" A working smaller thing beats a half-finished grand vision.
Orchestrator-First. The session agent is a manager, not a worker. Before any task, it decides: handle directly, delegate to a subagent, or route to MCP? This is the single biggest lever for productivity.
Dialectic Reviews. For important decisions, don't ask "what should I do?" Spawn opposing agents — one argues FOR, one argues AGAINST — with a referee to synthesize. Dramatically better than asking one agent for pros and cons. (h/t @danpeguine and @systematicls for the Hunter/Skeptic/Referee pattern)
Anti-Sycophancy. If an approach has clear problems, Claude says so directly, proposes an alternative, and accepts override. Sycophancy is a failure mode.
Test-First Bug Fixing. When a bug is reported, write a test that reproduces it before trying to fix it. (h/t @tangming2005 — this was his "single biggest improvement to my CLAUDE.md")
Operationalize Every Fix. Don't just fix the bug. Write tests that catch the whole class of similar bugs. Check for other instances. If it reveals a gap in your instructions, update CLAUDE.md. Every bug is a learning opportunity. (h/t @doodlestein)
Evals Before Specs. Define how you'll evaluate success before writing the spec. The progression: evals → spec → plan → implement → verify. (h/t @synopsi, who now spends 90% of time on evals)
Prefer the Boring Solution. Can this be fewer lines? Are abstractions earning their complexity? Don't build 1,000 lines when 100 suffice. (h/t @karpathy — "agents bloat abstractions, have poor code aesthetics")
Progressive Disclosure. Don't dump everything into CLAUDE.md. Keep it lean with trigger rules ("when X happens, read guide Y"). Guides load on-demand. (h/t @toddsaunders and @mstockton)
Structured > Prose. For rules agents MUST follow, use XML tags and JSON, not markdown paragraphs. Claude processes tagged content differently. (h/t @ihtesham2005 and @Austen)
Workflow Evolution. The workflow is a living system. When a session reveals a new pattern, encode it. Use your tools to improve your tools. It's a flywheel, not a static config. (h/t @doodlestein's Agent Flywheel) ALSO SERIOUSLY, GO FOLLOW @doodlestein
Corrective Framing. "Remember to do X" doesn't work. Instead, present a possibly-wrong claim: "You should be doing X — are you still doing it?" Mismatches trigger natural correction. (h/t @yishan)

The COMP System
Every project gets 4 files:
- CLAUDE.md — how the AI should behave here
- ORIENT.md — what a human needs to know to work here
- MEMORY.md — accumulated decisions, gotchas, context
- PLAN.md — roadmap, progress, next steps
Separate behavioral instructions from human orientation from accumulated knowledge from direction. Each has a different audience and update frequency.

The Guides
Seven situational guides that Claude loads on-demand — delegation templates (7 agent types with prompt structures), shell rules, context efficiency, API-over-scraping, PostgreSQL batching, overnight autonomous runs, and a skills reference.
The delegation templates alone are worth the clone. Implementer, Researcher, Reviewer, Batch Worker, Session Reviewer, Explorer, Creative — each with a prompt template, model recommendation, and mandatory report format.

The Bookmark Pipeline
This is the meta-move. Every week… continue on X ↗
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More in Agents & Dev Tools

Developer Rebuilds Seven Adobe Apps in Rust Using Opus 5.5

Peter Yang highlights a developer who reimplemented seven Adobe apps, including Photoshop, Premiere and Lightroom, in Rust with Claude Opus 5.5 and open-sourced them. The developer believes they can match Adobe's features within months, against Adobe's $840 yearly all-apps plan.

Original post · 1 min read
It's insane to watch AI blow apart closed source software and games.

4 examples from the past month:

1. 7 of Adobe's biggest apps, including Photoshop, Premiere, and Lightroom, have been partially rebuilt in Rust with Opus 5.5 and open sourced. It's still early, but the developer thinks they can match Adobe's features within months. Adobe's all-apps plan costs $840/year.
Miguel Ángel Durán @midudev
Todos los productos de Adobe reimplementados desde cero, gratuitos y de código abierto

→ getartcraft.com/apps
♥ 50 · ⟲ 2 · 👁 10.7KView on X ↗

Vercel's Guillermo Rauch Explains Turborepo's Migration From Go to Rust

Guillermo Rauch says Vercel moved Turborepo from Go to Rust, a migration that was controversial internally due to human costs. He argues that with AI agents the calculus has changed, so what is best for humans is no longer necessarily best for business.

Original post · 1 min read
DHH is fundamentally right about Rust. For context, Vercel has been undergoing a Rust-ification (carcinization, technically 🦀) for a while.

One of the first projects we migrated was Turborepo, from Go to Rust¹. The migration completed, but the RoI was actually quite controversial internally.

While Rust was in our eyes better for low-level OS access, something crucial for a build system like Turbo, the human migration costs were very sustantive.

Go is very fast. It's beautifully designed. It's easy to iterate on. We were very conflicted about the migration, because it was *humans* writing the code, *even if we knew Rust was a better choice*.

The calculus has now changed. What's "best for humans" is no longer necessarily "best for business".

FWIW, it's also quite unlikely that Rust is the end-all-be-all toolchain. I'm quite certain there's greener pasture ahead, because Rust itself was designed before the 'supersonic tsunami' of agents hit.

¹ https​://vercel.com/blog/how-turborepo-is-porting-from-go-to-rust
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Integer Multiplication Algorithm Bound Tightened Repeatedly With Astra

A post reports that a user running ChatGPT Astra in a loop is repeatedly breaking records for integer multiplication algorithms. It quotes an update to OpenAI problem #109 that tightens the constant from 2^-182 to 2^-59, a roughly 500,000-fold improvement over the previous result.

Original post · 1 min read
This guy has 6.1 Astra running in a loop and is breaking the record for integer multiplication algorithms every few hours lmaooooo.
Doug Colkitt @0xdoug
We are publishing an update to OpenAI problem #109 Integer multiplication) with another substantial further tightening:

κ = 2⁻⁵⁹ (from OpenAI’s original κ = 2⁻¹⁸²)

Approximately 500 thousand fold improvement over our previous result and a 2¹²³ fold improvement over the original OAI result.

The latest redesigned the finite network to share intermediate computations and scratch space, then tightened the recursion and Gaussian estimates.
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Boris Cherny Says Prompting Claude Should Feel Like Talking to a Coworker

Boris Cherny explains his approach to prompting Claude, advising users to give clear goals, specify effort level and verification steps rather than relying on heavy scaffolding.

Original post · 1 min read
I am surprised that people are surprised this is how I prompt Claude.

Talk to Claude the way you would a coworker. There's no secret to prompting. There's no need to be overly scaffolded or prescriptive for most tasks -- give Claude a goal, and it will figure it out.

Back in the Sonnet 3.5 days, your prompt mattered a lot. Nowadays, it's much more important to communicate to the model:

1. What you want it to do
2. How much effort you want it to spend
3. How it should verify that it did the right thing
Boris Cherny @bcherny
Prompt
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Eric Raymond Highlights Open-Source Rust Clone of Photoshop Built via LLM

Eric S. Raymond shares the photocraft GitHub project, a clean-room open-source reimplementation of Photoshop that he says was likely generated by decompiling the app, converting it to a spec and prompting an LLM for Rust. He argues this threatens closed-source software.

Original post · 1 min read
This is the doom I predicted a few days ago, coming for Photoshop. A clean-room open-source reimplementation.

No prizes for guessing that they decompiled Photoshop to source code, processed that to some kind of non-code specification language, then fed the spec to an LLM with an instruction to generate Rust.

Adobe just got nuked. And closed source is dead, dead, dead.

github.com/storytold/photocraft
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Nat Eliason Details Fourteen Ways His Bot Setup Automates Work

Nat Eliason lists fourteen functions of his bot setup, including a chief-of-staff agent that drafts emails, specialist agents per work lane, and cloud coding agents that open pull requests from Linear issues. He notes GrokBot as a substantial improvement over his previous OpenClaw setup.

Original post · 2 min read
Things my @bot setup does that still blow my mind:

1. A Chief of Staff who opens the day pulling open loops from email & tasks and suggesting things it can knock out before 7am.

2. After every meeting, decisions get folded into Notion, Linear, and Todoist — not left rotting in Granola

3. Every email starts as a draft. The CoS bot scans my email every ~2hr and drafts replies to nearly everything — including checking my cal for availability and finding requested attachments / links

4. A specialist for each lane: curriculum, engineering, coaching, hiring, content, ops, and one for every single piece of software

5. Routines that keep running while I’m offline (e.g. monitoring Sentry errors in our apps and proactively fixing things)

6. Group rooms where 2–4 bots share one project thread instead of me copy-pasting context

7. Cloud coding agents that pick up Linear issues and open PRs after running the list of open work by me EoD — then squash-merge to main when it’s done

8. Meeting prep briefs pulled from Granola + Notion before I walk in

9. A growing shareable knowledge base in Notion + a GitHub repo that we update daily based on what happens at school

10. Student progress look-up across Expertise, Followers, and CoFounder without inventing numbers — chat anytime to see where a student is on their business work

11. Mentor Mind that coaches me on how to hold the bar without inventing doctrine

12. Todoist as a central task list where it logs things it’s blocked on for me, or from meetings / emails — and I can paste links into chat to direct it how to solve them

13. Engineering work is automatically tracked in Linear so my and the product teams’ bots don’t collide with each other

14. Presentations spun up in Gamma / Claude Design without me opening a slide tool

15. Plaud / live capture → notes the bots can actually act on

Probably more but these were the immediate ones we thought of.
Nat Eliason @nateliason
GrokBot feels like absolute magic at this point, a meaningful leg up on my previous OpenClaw etc. setups.

And with how easy it is to setup, there's really no excuse now.
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