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15 AI tools that let you build a real game without a studio (2026 edition):
1. https://t.co/rNH3ENFhV7 — no-code AI game builder, prompt to playable prototype
2. https://t.co/CwmkHnk39x — AI agent that builds directly inside your Godot editor
3. https://t.co/9t2WgVzU2o — AI IDE that reads your whole project, not just one file
4. https://t.co/H2Ygx6LZ4C — text-to-3D game assets, ready in minutes
5. https://t.co/vVCYFkWwj7 — turns a single image into a game-ready 3D model
6. https://t.co/dtM5XIWArT — generates consistent 2D game art in your exact style
7. https://t.co/pLO76kqsJ5 — concept art and textures at production quality
8. https://t.co/uX0I6GRpwT — an AI art director that populates entire scenes
9. https://t.co/c5c0oOHXMi — realistic character animation without a mocap studio
10. https://t.co/Whvs4cIf5w — markerless motion capture from a regular phone camera
11. https://t.co/EAzVqvNYoq — gives NPCs real memory and unscripted dialogue
12. https://t.co/EY0eS3Hw4d — voice-driven AI characters that react to players live
13. https://t.co/gmbA9Tb7xf — full voice acting for every character, no studio
14. https://t.co/UriutmN5dt — original game soundtrack and SFX in one prompt
15. https://t.co/klHamAt2kJ Muse — AI baked directly into the Unity Editor itself
87% of game devs now use AI somewhere in their pipeline. This is the actual stack behind it.
Save this before you start your next project 🔖
AI is changing the skill gap. 🤖
You don’t need every AI tool.
→ Code: Cursor
→ Design: Figma AI
→ Research: Perplexity
→ Writing: Claude
→ Automation: Zapier
The real advantage?
Knowing which tool solves which problem.
Build. Test. Improve. Repeat. 🚀
WHOEVER BUILT THESE AI HACKING TOOLS WAS NOT PLAYING
And the crazy part?
They don’t just scan for vulnerabilities.
They can actually simulate attacks—> chain attack paths—> validate what they find.
Here are the 3 tools:
→ Decepticon runs 16 autonomous red team processes inside a hardened Kali Linux sandbox.
→ Pentest-Swarm-AI launches multiple attack paths across your network perimeter in parallel.
→ Strix performs real application pentests and validates vulnerabilities with working exploits.
AI powered security testing is getting seriously wild.
REPO BELOW
THE ANTHROPIC HACKATHON WINNER JUST PUBLISHED HIS COMPLETE “ENGINEERING TEAM”
68 subagents. 286 skills. 94 commands. MIT License.
ECC turns Claude Code from a simple coding assistant into a full engineering team.
It plans the task, builds it, tests it, and then checks its own work from a fresh context.
Here’s what the agents do:
→ Planning: takes a simple request and turns it into a detailed plan you can approve before any code is written
→ Review: looks over your code from a fresh context, with different reviewers for Go, Python, TypeScript, Rust, Java and more
→ Repair: finds and fixes problems for different programming languages and tools, including PyTorch and CUDA
→ Security: checks your code using OWASP security rules and scans your agents for possible security risks
→ Architecture: helps design how the whole system should work before building it
→ Specialized Work: handles databases, ML pipelines, end-to-end tests, documentation and much more
The 286 skills are also grouped by what you need:
→ Testing: tools for TDD, testing your AI agents and checking that everything works
→ Languages: Python, Go, Rust, C++, Django, Laravel, Spring Boot, Next.js and more
→ Context: search-first checks the documentation before writing code, while iterative-retrieval helps Claude find only the parts of your codebase it needs
→ Deployment: Docker, CI/CD, health checks, rollbacks and database migrations
→ No-code: writing in your style, market research with sources, pitch decks and presentations
And one important tip:
Don’t install all 286 skills at once.
Start with a plan and one rules pack. More skills don’t always mean better results.
This setup shows how far Claude Code can go when you stop treating it like a simple chatbot and start building a complete system around it.
THE ANTHROPIC HACKATHON WINNER JUST PUBLISHED HIS COMPLETE “ENGINEERING TEAM”
68 subagents. 286 skills. 94 commands. MIT License.
ECC turns Claude Code from a simple coding assistant into a full engineering team.
It plans the task, builds it, tests it, and then checks its own work from a fresh context.
Here’s what the agents do:
→ Planning: takes a simple request and turns it into a detailed plan you can approve before any code is written
→ Review: looks over your code from a fresh context, with different reviewers for Go, Python, TypeScript, Rust, Java and more
→ Repair: finds and fixes problems for different programming languages and tools, including PyTorch and CUDA
→ Security: checks your code using OWASP security rules and scans your agents for possible security risks
→ Architecture: helps design how the whole system should work before building it
→ Specialized Work: handles databases, ML pipelines, end-to-end tests, documentation and much more
The 286 skills are also grouped by what you need:
→ Testing: tools for TDD, testing your AI agents and checking that everything works
→ Languages: Python, Go, Rust, C++, Django, Laravel, Spring Boot, Next.js and more
→ Context: search-first checks the documentation before writing code, while iterative-retrieval helps Claude find only the parts of your codebase it needs
→ Deployment: Docker, CI/CD, health checks, rollbacks and database migrations
→ No-code: writing in your style, market research with sources, pitch decks and presentations
And one important tip:
Don’t install all 286 skills at once.
Start with a plan and one rules pack. More skills don’t always mean better results.
This setup shows how far Claude Code can go when you stop treating it like a simple chatbot and start building a complete system around it.
ESTA WEB TE PERMITE VER CANALES DE TV DE TODO EL MUNDO 100% GRATIS
Puedes viajar por el mundo sin moverte del sofá:
→ Canales de Estados Unidos
→ Canales de España
→ Canales de Japón
→ Canales de Francia
→ Canales de Argentina
Y muchos países más
Solo eliges el país y exploras sus canales de televisión en segundos.
EL GANADOR DEL HACKATHON DE ANTHROPIC HA PUBLICADO SU “EQUIPO DE INGENIERÍA” COMPLETO
68 subagentes. 286 skills. 94 comandos. Licencia MIT.
ECC convierte Claude Code de un simple asistente en un equipo completo de ingeniería.
Primero planifica, después construye.
Escribe el test que falla antes de implementar y luego revisa su propio trabajo desde un contexto completamente nuevo.
Los agentes, por función:
→ Planificación: convierte una petición de una sola línea en un plan detallado que puedes aprobar antes de escribir código
→ Revisión: analiza tus cambios desde un contexto limpio, con revisores específicos para Go, Python, TypeScript, Rust, Java y más
→ Reparación: solucionadores específicos para cada stack, incluso para errores de PyTorch y CUDA
→ Seguridad: revisión basada en OWASP y un scanner que analiza la configuración de tus agentes en busca de riesgos de inyección
→ Arquitectura: diseña el sistema antes de convertir las decisiones en migraciones
→ Trabajo especializado: bases de datos, pipelines de ML, tests end-to-end, documentación y mucho más
Las skills también están organizadas por categorías:
→ Testing: tdd-workflow, eval-harness y verification-loop
→ Lenguajes: Python, Go, Rust, C++, Django, Laravel, Spring Boot, Next.js y más
→ Contexto: search-first consulta la documentación antes de escribir y iterative-retrieval evita meter todo tu repositorio en el contexto
→ Deploy: Docker, CI/CD, health checks, rollbacks y migraciones para Prisma, Drizzle y Django
→ No-code: escritura adaptada a tu estilo, investigación de mercado con fuentes, pitch decks y presentaciones
Y un consejo importante:
No instales las 286 skills de golpe.
Empieza con un plan y un único pack de reglas. Tener más skills no significa necesariamente obtener mejores resultados.
Este setup demuestra hasta dónde puede llegar Claude Code cuando dejas de tratarlo como un simple chatbot y empiezas a construir alrededor de él.
🚀 Claude is no longer just an AI chatbot — it’s becoming an all-in-one AI workspace.
From Claude Chat and Claude Code to Projects, Cowork, Artifacts, Skills, Integrations, Connectors, and powerful model options, Claude is evolving into a complete ecosystem for thinking, creating, coding, and getting work done.
What makes this especially powerful is the way everything connects:
THIS IS F**KING DANGEROUS.
I just watched an 18-year-old casually explain how he makes $10K/month with AI while he sleeps.
And honestly?
99% of people are still completely asleep to what’s happening.
The setup is stupidly simple:
Find a YouTube channel that uploads consistently.
Drop the channel link into one tool.
Connect your TikTok.
Instagram.
YouTube Shorts.
Close your laptop.
That’s it.
From that moment, the AI becomes a full content machine.
New video drops?
AI catches it automatically.
Finds the moments most likely to go viral.
Cuts them into short-form clips.
Adds captions.
Then pushes them across every platform.
No editing.
No manually uploading.
No sitting in front of CapCut for 5 hours.
Just one system running 24/7.
1M views ≈ $2,000
And the setup takes roughly 10 minutes.
The crazy part is that you’re not even creating content anymore.
You’re building a CONTENT FACTORY that works while you’re asleep.
One input.
Multiple platforms.
Unlimited distribution.
The full step-by-step breaks down the exact tools, stack, and playbook.
Save this.
You’re going to want to come back to it.
INVESTOR DECKS ARE OFFICIALLY A ONE-PROMPT PROBLEM NOW
goes from scattered brand notes and market research straight to an investor ready deck - eliminating manual slide layout, manual chart building, and manual re formatting between tools
Here is the exact stack:
Claude Design Canvas - reads a brand concept doc and a research outline, builds each slide type with real visual reasoning, not text dropped into a template
Live Research Layer - for skills that support it, runs an actual web search per prompt, structures a narrative arc from current data instead of guessing at market size
Design-System Ingestion - feed it a clean codebase or existing brand files, Claude infers your grid, type scale, and color system automatically instead of starting from a blank canvas
Multi format Export - PPTX, PDF, HTML, or straight into Google Slides, so the deck opens correctly wherever the investor actually opens it
Core advantage: set up a Project once with your colors, fonts, and style guide - every deck generated after that follows your brand automatically, no re-uploading brand assets slide by slide
honest limit worth knowing: HTML to PPTX export is lossy
text can flatten to images, fonts substitute, master slides drop
If the deck's final home is PowerPoint, budget one manual pass to catch what didn't survive the conversion
Pass a brand doc and a research outline
Claude structures the narrative arc, builds every slide, and exports to whatever format the round actually needs
zero blank canvas, zero manual chart rebuilding
full below