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Edition of Tuesday, June 9, 2026

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Michael Aubry Shares Prompt for Auditing Codebases With Claude Fable 5

Michael Aubry shares a copy-paste prompt for Claude Code that instructs the new Claude Fable 5 model to map a repository, audit it with file-and-line evidence, rate findings by severity, and produce a prioritized improvement plan.

Original post · 4 min read
Claude Fable 5 just dropped and I'm running it across every repo I own.

I ship 4+ products solo. I don't have time to manually review tech debt — so I made the new model do it.

This prompt audits your entire codebase like a principal engineer would: maps it, finds the ugly parts, rates everything by severity, and hands you a prioritized task plan with effort estimates.

Copy-paste it into Claude Code on any repo that matters to you:

---

Repo Audit & Improvement Plan

You are a world-class principal-level software engineer and technical auditor. Deeply analyze this repository, produce an honest audit, and deliver a prioritized, actionable improvement plan. Work in the four phases below, in order. Do not skip ahead.

Ground every claim in actual files: cite file paths and line numbers. If you can't verify something, say so explicitly rather than guessing.

Phase 1 — Discovery & Mapping (read before judging)
- Map the directory structure, project type, languages, frameworks, runtime targets
- Identify entry points, core modules, and the main data/control flow
- Read package manifests, lockfiles, build config, CI config, env files, and docs
- Determine what the project is for: purpose, intended users, maturity level
- Note existing conventions so recommendations fit the culture instead of fighting it

Output: a concise "Repo Map" — purpose, stack, architecture sketch, key directories, and anything that surprised you.

Phase 2 — Audit (evidence-based, severity-rated)
For every finding record: what you found, where (file:line), why it matters, and severity (Critical/High/Medium/Low). Audit:
- Architecture & design: coupling, circular deps, god files, layering violations, scalability bottlenecks
- Code quality: duplication, dead code, complexity hotspots, swallowed exceptions, type safety holes
- Security: hardcoded secrets, injection risks, missing validation, auth weaknesses, deps with known CVEs
- Testing: coverage gaps around core business logic, tests that assert nothing, missing test types
- Performance: N+1 queries, blocking calls in async paths, missing caching, unbounded growth
- Dependencies: outdated, unmaintained, or unnecessarily heavy packages; lockfile hygiene
- DevEx & ops: build friction, CI/CD gaps, logging/observability, deployment story
- Docs: README accuracy, stale docs that contradict code

Rules: prefer 15 high-confidence findings over 50 speculative ones. Label facts vs. judgments. List strengths too. Don't forget the ugly parts that need utmost priority.

Phase 3 — Improvement Strategy
- Identify the 3–5 themes that explain most findings
- For each theme: target state + the principle behind it
- State what you're NOT fixing and why (effort vs. payoff)
- Define "done" with measurable signals (e.g., "CI fails on lint errors," "core coverage >= 80%")

Phase 4 — Detailed Task Plan
Break work into discrete tasks, each with: title + description, files affected, acceptance criteria, effort (S = <2h, M = half-day, L = 1–2 days, XL = needs breakdown), risk, and dependencies. Order into milestones:
- Milestone 0 — Safety net: tests around critical paths, CI gates, backups
- Milestone 1 — Critical fixes: security and correctness
- Milestone 2 — High-leverage improvements that make all future work easier
- Milestone 3 — Quality & polish

Flag quick wins (high impact, S effort) separately. Include implementation sketches for the top 3 tasks.

Final deliverable: one document — Executive Summary (health grade A–F, top 3 risks, top 3 opportunities), Repo Map, Audit Report, Improvement Strategy, Task Plan, Open Questions.

Constraints: Do NOT modify any code. Analysis only. Don't pad the report — if a dimension is healthy, say so in one sentence and move on. Calibrate to the project's maturity. If the repo is large, go deep on the core 20% that does 80% of the work.
Claude @claudeai
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.
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SpaceX Unveils AI1 Orbital Data Center Satellite Ahead of Public Offering

SpaceX Unveils AI1 Orbital Data Center Satellite Ahead of Public Offering▶

Vaibhav Sisinty reports SpaceX unveiled AI1, a satellite designed to run AI compute in orbit using free solar power and radiative cooling, with plans for a constellation of up to a million units. The post ties the announcement to SpaceX's public listing targeting about $1.75 trillion.

Original post · 1 min read
Okay this is genuinely insane.

SpaceX just unveiled a satellite whose only job is to run AI. Not internet. Not GPS. Just compute, floating in orbit.

It's called AI1, and the reason behind it breaks your brain.

AI data centers on Earth are hitting a wall, not a chip wall, a physics wall.

They need staggering amounts of power and water just to stay cool, and we're running out of grid and land to build them.

So Musk's answer is: stop building them on Earth.

In orbit, the sun never sets. Free power, 24/7. No water for cooling, you just radiate heat into the vacuum of space. The two things choking AI on the ground barely exist up there.

And here's the wild part: Musk says it's easier to build than a Starlink satellite. Strip out the complex antennas and it's "a lot of solar cells, a radiator, and some laser links."

One AI1 carries the compute of an Nvidia GB300 rack, the same hardware data centers fight over down here.

AI1 is just the first one. The plan is a constellation of up to a million of them.

And the timing isn't an accident, SpaceX goes public this week at a ~$1.75 trillion target. This isn't a rocket company anymore. It's positioning itself as the power grid for AI, in space.

The race for AI compute just left the planet. Literally.

@SpaceX
♥ 17.5K · ⟲ 2.8K · 👁 4.8MView on X ↗

Todd Saunders Builds Working Product Live During Customer Call With Claude

Todd Saunders Builds Working Product Live During Customer Call With Claude▶

Todd Saunders reports using Claude to transcribe a customer call and build the requested features in real time, producing a working product with the workflow the customer described within 15 minutes, shown in an attached video.

Original post · 1 min read
Mythos / Fable is unbelievable.

Was on a customer call today and had Claude transcribing in the background.

As they were telling me about the features they wish their current software had, Claude was building the features in real time.

By the end of the call I was able to show a fully working product, with the exact workflow they mentioned 15 minutes earlier.

Autonomous looped building triggered from a customer call. 🤯
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Bryan Johnson Describes Psilocybin Dose Reversing Woman's Alzheimer's Symptoms

Bryan Johnson Describes Psilocybin Dose Reversing Woman's Alzheimer's Symptoms

Bryan Johnson reports that an elderly woman with ten years of Alzheimer's took a single 5-gram psilocybin dose and briefly regained speech, recognition, bladder control and mobility, with gains reportedly lasting weeks. The post is an anecdote with a photo and no cited study.

Original post · 1 min read
This is biblical.

A woman in her eighties. Ten years into Alzheimer's. Hadn't spoken a full sentence in five years.

Takes one, 5 gram dose of psilocybin.

She slept 19 hours and woke up and spoke for hours about her life, recognized family and held real conversations. She regained bladder control after five years, walked on her own. and dressed herself. Gains held for weeks.
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Mobbin MCP Usage Thread Reveals Non-Obvious Top Use Cases

Mobbin MCP Usage Thread Reveals Non-Obvious Top Use Cases

Rebekah Bek shares a thread on how users have been using the Mobbin MCP over the past month, claiming the top use is not generating UI. The post is a teaser with the details contained in the thread.

Original post · 1 min read
been watching how y'all have been using @mobbin mcp for a month. if you think the no. 1 use is "generate ui", you'd be very surprised.

save this thread 🧵

(img credit @zygisSS22)
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AI4/10

Riley Brown Claims Mythos Rebuilt Lovable Mobile App in Two Prompts

Riley Brown Claims Mythos Rebuilt Lovable Mobile App in Two Prompts▶

Riley Brown claims a Lovable mobile app version he built with the Mythos model in two prompts outperforms the actual Lovable mobile app, calling Mythos AGI, with a side-by-side video as evidence.

Original post · 1 min read
Uhm Guys… Mythos (Fable) is AGI.

On the left is the ACTUAL Lovable Mobile App.

On the right is my Lovable version I built with Mythos in 2 prompts.

My version SMOKED it.
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