A living document · Codey-LAB · Est. 2026
Licensed under Apache 2.0 + ESOL v1.1
Written with blood, coffee, and 42 years of not explaining things twice.
The internet is drowning in AI-generated noise, fake tools, and social media scams targeting people who are just trying to learn.
We're not here to cry about it. We're here to make it obsolete.
Codey is our answer. Not a badge. Not a gimmick. A living proof that you actually code, actually think, and actually know the difference between a real tool and a requests.get() wrapper with a Telegram payment funnel.
If you know that difference — welcome. There's good stuff waiting for you here.
The hacking scams are just the most visible tip.
The actual problem is an entire ecosystem of AI-powered fraud targeting anyone who doesn't know enough to protect themselves:
The Scam Landscape in 2026:
"Make $5000/month with this AI tool!" → fake course, real credit card charge
"This AI writes code for you — for free!" → API wrapper, Telegram premium funnel
"Learn hacking with our AI assistant!" → 50 lines + ASCII art + crypto payment
"AI generates passive income overnight!" → affiliate trap, data harvesting
"ChatGPT alternative — UNCENSORED!" → stolen API key, your data sold
"This tool was BANNED by big tech!" → malware disguised as liberation
The victims are not stupid. They are young, curious, and learning — exactly the people who should be welcomed into tech. Instead they get scammed, lose money, lose trust, sometimes lose data.
On TikTok, Instagram, YouTube, Facebook — every day, thousands of kids and beginners encounter this content before they encounter a single honest developer.
That's what Wall of Shames hunts. That's what Codey-LAB fixes.
Wall of Shames — The Hunters
Wall of Shames actively tracks scammer kids on social networks — the ones posting "AI hacking tutorials" to their 50k followers, running Telegram premium funnels, selling fake courses to beginners who don't know better.
Every scam gets documented. Every repo gets forked before deletion. Every pattern gets archived. The record survives even when the scammer hits delete and rebrands.
Because you can delete your repo. You cannot delete the record of what you did.
Documentation and exposure only go so far. The real fix is knowledge.
A developer who understands what LLMs actually are cannot be scammed by a system prompt dressed up as "custom AI trained on 10TB of hacking data." A beginner who has installed and run Codey already understands more about real development than 90% of the scam tutorial audience.
Codey-LAB builds the knowledge, prompts, and tools that make the scam not work. Not by shouting louder — by raising the floor.
One side documents the fraud. The other side makes it irrelevant.
Codey is your GitHub pet. He lives on your profile, updates daily, and reflects your real activity — commits, streaks, stars, languages, contributions. He evolves as you evolve. He dies if you stop.
A dead Codey doesn't lie.
You cannot fake a consistent commit history over months. You cannot fake the organic shape of a real developer's GitHub — the bursts of activity, the quiet weeks, the commit at 2am because you finally figured it out. Bots produce perfectly regular patterns. Scammers have two-week-old accounts. Real developers look like real developers.
Codey reads all of this. And Codey remembers.
Codey has a heartbeat. Not a vanity metric — an EKG of your coding life.
Real developers have irregular but sustained rhythms. A sprint on a new project. A quiet week. A late night fix. That's human. That's authentic. A flatline is a fraud. A perfectly regular pulse is a bot. A living heartbeat is yours.
Coming: heartbeat visualization directly in Codey's SVG — your personal coding EKG.
Stars on your own repos, contribution diversity, language depth, engagement patterns — these form a cognitive fingerprint that's hard to fake at scale.
Someone who understands what they're building looks fundamentally different from someone who cloned and rebranded. The brain score answers one question: does this person actually know what they're doing?
Coming: brain score derived from contribution quality, not just commit count.
Skins are not cosmetic. They are earned expressions of who you are as a developer — your stack, your tenure, your specialization.
A Python Dragon looks different from a Rust Dragon. A security researcher's Codey carries different marks than a frontend engineer's. Skins can be community-contributed and modifiable. The stats that unlock them cannot be faked.
Coming: full skin system — stack-based variants, achievement unlocks, seasonal drops, community designs.
Here's the fun part.
Codey-LAB isn't just a place to read docs. It's a place where your real work unlocks real rewards. The more your Codey grows, the deeper you get to go.
| Level | Title | What You Unlock |
|---|---|---|
0 |
Egg | You found the lab. Now go install Codey. |
1–5 |
Hatchling | Community access · Basic prompt recipes · First sidekick configs |
6–15 |
Junior Codey | AI workflow patterns · Starter security prompts · Anti-datamüll configs |
16–30 |
Senior Codey | Advanced system prompts · ESOL tooling · The prompts we use ourselves |
31–50 |
Dragon | Full lab access · Architecture prompts · Red team templates · Unreleased tools |
51+ |
Prestige | Co-author rights · Invite others · You help set the standards |
At Hatchling you get the basics — prompts that teach you how to actually talk to an LLM without getting 500 tokens of preamble nobody asked for.
At Junior Codey you get configs that turn any AI into a real sidekick. The ones that save real money on API bills. The ones that stop the datamüll at the source.
At Senior Codey you get what we actually run in production — sidekick setups engineered for developers who don't need explanations, just solutions.
At Dragon you get the stuff we hesitate to publish openly — not because it's dangerous, but because in the wrong hands it creates more noise, not less. By Dragon level you've proven you're not that person.
At Prestige you help build what comes next. You've earned the right to set the standards.
No forms. No applications. No "please review my PR."
Your Codey speaks for you.
We are specifically here for:
- Young developers who are just starting out and deserve honest guidance, not scam tutorials!
- Beginners who don't yet have the technical knowledge to spot a wrapper from a real tool
- Non-technical users who trust a star count and a flashy README
- The open source community whose reputation gets damaged every time a scam repo goes viral 💔
We are not the fun police. We have nothing against AI tools, automation, or even unconventional approaches to development. We have everything against people who exploit curiosity and trust for a quick crypto payment.
Because the answer to open source fraud is better open source. Not paywalls. Not closed platforms. Not "trust us."
Everything here is auditable. The philosophy is documented. The code is public. Anyone can verify how the metrics work and why. That transparency is itself anti-fraud — there's nothing hidden to game.
When scammers find new patterns, the community documents them and Codey adapts. This is not a product roadmap. It's an immune system.
The founder of Codey and Codey-LAB reserves the right to tighten entry requirements, adjust metrics, and modify scoring at any time — without notice — when new fraud patterns are observed.
Legitimate developers adapt. Scammers move on to easier targets.
The goal is never to exclude real engineers. The goal is to make fraud expensive enough that it's not worth attempting.
Scammers are adaptive. So are we.
Every new fraud pattern becomes a data point. Every new Codey metric is a response to something real that happened. Every prompt we publish has been tested against the noise.
The web got worse fast. It gets better slowly. We're okay with slow.
We're engineers. We ship. We iterate. We protect the next generation of developers from losing their first €50 to a Telegram funnel.
And we have a pet dragon to prove we mean it.
"Heartbeat. Brain. Skin. The three things a scammer cannot fake over time."
Codey-LAB · Berlin · Est. 2026
@VolkanSah · @BadTin · and some cats 🐈