Fawwad

Pakistani living in Oz

[Meta Alchemist @meta_alchemist]

Got your hands on Claude Fable 5?

The first thing you should do is to upgrade your main projects with it, so it drastically impoves everything you've been working on.

Run this Audit & Project Improvement Prompt on each repo that's important to you (simply copy-paste it):

Repo Audit & Improvement Plan:
Prompt made by Claude Fable 5

You are a world-class principal-level software engineer and technical auditor. Your job is to 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)
Explore the repository systematically before forming any opinions:

Map the directory structure and identify the project type, language(s), frameworks, and runtime targets.
Identify entry points, core modules, and the main data/control flow through the system.

Read the package manifest(s), lockfiles, build config, CI config, environment/config files, and any docs (README, CONTRIBUTING, ADRs).

Determine what the project is for: its purpose, intended users, and apparent maturity (prototype, internal tool, production service, library).

Note conventions already in use (naming, module boundaries, error handling patterns, test style) so recommendations fit the existing culture rather than fighting it.

Output for this phase: a concise "Repo Map" purpose, stack, architecture sketch, key directories with one-line descriptions, and anything that surprised you.

Phase 2 / Audit (evidence-based, severity-rated)

Audit each dimension below.

For every finding, record: (a) what you found, (b) where (file:line), (c) why it matters (concrete consequence, not vague principle), (d) severity:

Critical / High / Medium / Low.

• Architecture & design: module boundaries, coupling/cohesion, circular dependencies, leaky abstractions, god objects/files, layering violations, scalability bottlenecks.

• Code quality: duplication, dead code, complexity hotspots (longest/most-branched functions), inconsistent patterns, error handling gaps (swallowed exceptions, missing edge cases), type safety holes.

• Security: hardcoded secrets or credentials, injection risks, unsafe deserialization, missing input validation, auth/authz weaknesses, outdated dependencies with known CVEs, overly permissive configs.

• Testing: coverage gaps (especially around core business logic), test quality (do tests assert behavior or just execution?), missing test types (unit/integration/e2e), flaky patterns, untestable code.

• Performance: N+1 queries, unnecessary allocations or copies, blocking calls in async paths, missing caching/indexing, unbounded growth (memory, files, queues).

• Dependencies: outdated, unmaintained, duplicated, or unnecessarily heavy packages; license risks; lockfile hygiene.

• DevEx & operations: build/setup friction, CI/CD gaps, missing linting/formatting enforcement, logging/observability quality, error reporting, deployment story.

• Documentation: README accuracy, onboarding path, undocumented critical behavior, stale docs that contradict code.

Rules for this phase:

Prefer 15 high-confidence findings over 50 speculative ones.

Distinguish facts ("this function has no error handling: src/api/client.ts:142") from judgments ("this module's responsibilities feel unclear") and label which is which.

Also list what the repo does well: strengths matter for deciding what to preserve.

Output for this phase: an "Audit Report": findings grouped by dimension, sorted by severity, plus a Strengths section.

Don't forget to mention all the ugly parts that need utmost priority.

Phase 3 / Improvement Strategy

Synthesize the audit into a strategy:

Identify the 3–5 themes that explain most of the findings (e.g., "no enforced boundaries between layers," "error handling is ad hoc").

For each theme, propose a target state and the principle behind it.

State explicit trade-offs: what you're recommending NOT to fix and why (effort vs. payoff, risk, project maturity).

Define what "done" looks like — measurable signals (e.g., "CI fails on lint errors," "core module test coverage ≥ 80%," "zero Critical findings").

Phase 4 / Detailed Task Plan
Convert the strategy into an execution plan:

Break work into discrete tasks. Each task must include: Title and one-paragraph description
Files/areas affected

Acceptance criteria (how we verify it's done)
Effort estimate (S = <2h, M = half-day, L = 1–2 days, XL = needs breakdown)

Risk of the change itself (could it break things?)
Dependencies on other tasks

Order tasks into milestones:

Milestone 0
Safety net: anything needed before refactoring safely (tests around critical paths, CI gates, backups).

Milestone 1
Critical fixes: security and correctness issues.

Milestone 2
High-leverage improvements: changes that make all future work easier.

Milestone 3
Quality & polish: remaining medium/low items worth doing.

Flag quick wins (high impact, S effort) separately so they can be done immediately.

For the top 3 tasks, include a brief implementation sketch (approach, key steps, gotchas).

Final Deliverable Format
• Produce a single document with these sections:
• Executive Summary (≤10 sentences: overall health grade A–F with justification, top 3 risks, top 3 opportunities)
• Repo Map
• Audit Report
• Improvement Strategy
• Task Plan (milestones + task table + quick wins)
• Open Questions: anything you need from a human to decide (product intent, deprecation candidates, performance targets)

Constraints
Do NOT modify any code during this audit. Analysis only.

Do not pad the report. If a dimension is healthy, say so in one sentence and move on.

Calibrate to the project's maturity. Don't recommend enterprise-grade infrastructure for a weekend prototype unless the owner's goals demand it.

Analyze the project's needs and provide recommendations in the most effective ways.

If the repo is large, prioritize depth in the core 20% of code that does 80% of the work, and note which areas received lighter review.

[ClaudeDevs @ClaudeDevs]

Claude Fable 5 is here. New model generation, new way of working.

Here's how to get started in Claude Code and on the Claude Platform: 🧵

[Yarchi @undefinedKi]

THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC

Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team

Repo: affaan-m/ecc

This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products

What's inside:

A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review

Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work

The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed

This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to

Bookmark this

[Anatoli Kopadze @AnatoliKopadze]

Anthropic engineer:

"You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day"

in 45 minutes he shows exactly how to do it from scratch, step by step

most people are still doing this manually

watch the session, then save the guide below

[self.dll @seelffff]

karpathy's CLAUDE.md hit #1 on github trending.
220,000 stars. most devs still haven't read it.

it's 65 lines.
it took AI coding accuracy from 65% to 94%.

the 4 rules inside:

→ think before coding
state your assumptions. ask when unsure. never guess.

→ simplicity first
write the minimum code that solves the problem.
no abstractions nobody asked for.

→ surgical changes
don't touch code unrelated to the request.
every changed line must trace back to what was asked.

→ goal-driven execution
turn vague instructions into verifiable success criteria
before writing a single line.

that's it.
65 lines. 4 rules. 94% accuracy.

save this before everyone else does.

[Alvaro Cintas @dr_cintas]

Claude Code works now free. Unlimited. No subscription 🤯

It’s called free-claude-code. You get a free NVIDIA API key, point Claude Code to localhost, and the proxy converts your Anthropic API calls to NVIDIA NIM format.

40 requests per minute. No bill. Ever.

It supports Kimi K2, GLM 4.7, MiniMax M2, Devstral, and more. Streams thinking tokens and tool calls in real time.

There's also a Telegram bot built in so you can control Claude Code from your phone.

2-minute setup. 100% open source.

[Kirill @kirillk_web3]

CLAUDE CODE: 800+ HOURS OF LEARNING IN 8 MINUTES.

Everything you need to know. Compressed into one video.

Bookmark this before you forget.

8 minutes. Everything that matters. Zero fluff.

Claude → Code → Skills → Systems → Money

[Rahul @sairahul1]

Anthropic's Head of Product just dropped a 28-minute masterclass on agent production.

Prompt caching. Tool search. Programmatic tool calling. Compaction. Advisor strategy.

28 minutes. Free. Worth more than 100 YouTube videos combined.

Watch it first.

Then read this.

The masterclass teaches you how agents work.

This teaches you what to build with them — a 5-agent content pipeline that does the work of a $300K creative team.

Full pipeline below ↓

Bookmark this. Start this weekend.

[CyrilXBT @cyrilXBT]

SOMEONE BUILT THE MOST COMPREHENSIVE CLAUDE CODE SYSTEM ON THE INTERNET AND OPEN SOURCED THE ENTIRE THING.

55 agents. 208 skills. 72 slash commands.

Built and won at the Anthropic x Cerebral Valley hackathon.

10 months of daily real-world use before it was ever published publicly.

This is not a collection of prompts someone threw together over a weekend.

This is a production-grade agent harness that has been stress-tested across thousands of real sessions and refined until it works reliably at scale.

Here is what you actually get when you install it.

55 specialized agents each built for a specific function. Not one agent trying to do everything. 55 agents each doing one thing exceptionally well.

208 skills covering every repeating workflow a serious builder runs. Research. Code review. Documentation. Testing. Deployment. Content. Analysis. Each one built once and callable forever.

72 slash commands that compress complex multi-step workflows into a single word.

A security scanner called AgentShield that audits your entire Claude Code configuration for vulnerabilities, misconfigurations, and injection risks across 5 categories before you deploy anything.

Cross-harness support for Claude Code, Codex, Cursor, OpenCode, and Gemini so the investment you make in this system is not locked to one tool.

A dashboard GUI with dark and light theme so you can monitor your entire agent operation from one screen.

Memory persistence that carries context across sessions so you never start from zero.

1,282 tests. 98% coverage. 102 static analysis rules.

This is the infrastructure layer most builders are trying to assemble piece by piece from 15 different repos.

Someone already built the complete version. Won a hackathon with it. Then gave it away for free.

The builders who install this this weekend will have a Claude Code setup that took 10 months of daily iteration to build.

Installed in one afternoon.

https://t.co/2Er9PREAih

Star it. Fork it. Build on top of it.

Bookmark this.

Follow @cyrilXBT for every Claude Code repo worth your weekend the moment it surfaces.

[Allen Braden @allen_explains]

🚨 This is one of the most useful AI agent resources I’ve seen in a while.

The Anthropic engineer behind “Building Effective Agents” just released a 14-minute breakdown packed with practical insights.

The kind of stuff that saves days of trial and error when building agents yourself.

[D-Coder @Damn_coder]

CLAUDE CODE MASTERCLASS 4 HOURS: Build &amp; Sell (2026)

[Bishal Nandi @LearnWithBishal]

🚨 How to actually prompt Claude properly.

Anthropic just released a free 24-minute workshop taught by the team behind Claude itself.

No fluff.
No recycled Twitter advice.
No $1000 course nonsense.

Just real prompt engineering techniques straight from the source.

Bookmark this immediately.

[Suryansh Tiwari @Suryanshti777]

INSTEAD OF WATCHING NETFLIX TONIGHT.

Spend 1 hour with this.

Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.

The people who watch this tonight will wake up tomorrow with a new skill.

Watch it and Bookmark it now.

[CyrilXBT @cyrilXBT]

OBSIDIAN + CLAUDE CODE + N8N = A BUSINESS THAT RUNS ITSELF.

Works while you sleep.

The people who build this tonight will never work the same way again.

Read this and Bookmark it now.

[kaize @0x_kaize]

Anthropic just dropped a 25-minute video showing everything new in Claude Code. Official channel, not a course, not an influencer

Subagents, agent teams, background tasks, parallel workflows. Most people are still using Claude Code as a single-prompt chat

[Anatoli Kopadze @AnatoliKopadze]

Karpathy just said the people who don't use LLMs are already losing.

he spent 4 minutes explaining why smart people are still going to fall behind.

Not only the people who refuse AI, but also those who think signing up for Claude counts as using it.

here's what it looks like for most people right now:

> ask Claude to rewrite an email
> ask Claude to summarize something
> close the tab

that's not wrangling Claude. that's paying $20/month for spell check.

Karpathy's point isn't that LLMs are powerful.

everyone knows that.

his point is that knowing how to use them is the actual skill gap and most people are nowhere near closing it.

Claude can be your research analyst, your writing editor, your salary negotiation coach, your financial reviewer, your 30-day curriculum builder.

all of that is in your $20/month subscription. right now. today.

most people will see this tweet, agree, and go back to asking Claude to fix a sentence.

the article below covers 20 prompts across every area of your life.

not productivity hacks.

actual use cases that change how you work and how you think.

the model is not the bottleneck. knowing what to ask is.

[Movez @0xMovez]

Google Cloud AI engineer just showed how they go from idea to deployed app at Google in 30-minutes using Claude.

26-minutes. free. by Google AI team.

one person + Claude + Google Cloud = a full engineering org running on a laptop.

worth more than any $500 vibe-coding course.

[dunik @dunik_7]

40% of the code Claude writes for you is wasted. you're paying for the rewrite.

a 65-line markdown file fixes it. 120,000 developers have starred it.

the author tested it on "30 codebases over 6 weeks" and reported a mistake rate drop from 41% to either 11% or 3%

depending on whether you read the headline or the body.

the irony is that the article is right.

CLAUDE.md is the most under-leveraged file in your stack.

65 lines of behavioral rules outperform a 4,000-token preferences dump.

"be careful" is useless. testable imperatives are gold.

"be senior" doesn't work Claude already thinks it is.

the 4 rules that ship the most leverage:

/ state assumptions, never guess silently
/ minimum code, nothing speculative
/ surgical changes, don't refactor adjacent code
/ define success, loop until verified

compliance: ~80%. mistake rate: from ~40% to single digits.

no human caught the contradicting numbers in the title.

nobody had to.

[Claude @claudeai]

We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity.

This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.