sergio junca

[aditya @adxtyahq]

for anyone asking where to learn this stuff:

• RAG → https://t.co/4bzbUIwV5g
• Agentic RAG → https://t.co/IotOiGmV1Y
• AI Agents → https://t.co/nEeMnVJQbk
• Multi-Agent Systems → https://t.co/pavDPVJEFj
• LangGraph → https://t.co/3miEqqFzF0
• LangGraph (code) → https://t.co/v7kxHZXqba
• MCP → https://t.co/lKawRb4etX
• Memory Systems → https://t.co/LSaT2UaPAS
• Evals → https://t.co/vxChxa1kqQ
• Context Engineering → search "Context Engineering Survey" on arXiv

and please skip the "build an ai agent in 10 minutes" videos
build something, watch it fail, then figure out why.

[Vivek | Cybersecurity @VivekIntel]

Not sure what Cyber Security includes: This one image explains all 👇

[Aurora_lily @Aurora_TechAI]

Want to become a Claude Certified Architect in 6 weeks? 🚀

Here’s a simple roadmap to go from beginner → builder → certified 👇

📅 Week 1 — Learn the Basics Master the essentials: • Claude API
• MCP (Model Context Protocol)
• Claude Code
• Claude fundamentals

📅 Week 2 — Build Real Projects Stop watching tutorials. Start shipping: • Apps with Claude Code
• AI agents + APIs
• MCP workflows & integrations

📅 Week 3 — Study the Exam Understand what matters: • Real-world case studies
• 5 important domains
• Skills tested in the exam

📅 Week 4 — Advanced Practice Level up your projects: • Multi-agent systems
• Team collaboration workflows
• Research + automation pipelines

📅 Week 5 — Mock Tests Train under pressure: • Practice exams
• Analyze weak areas
• Aim for 850+/1000

📅 Week 6 — Certification Time Take the real exam. One attempt. One goal. 🏆

❤️ Like
🔁 Repost
🔖 Save for later

Follow for more AI learning content ⚡

[marcus @marcusyul]

Hace unos días GitHub lanzó algo que casi nadie en el mundo tech ha visto todavía.

La primera certificación oficial del mundo para AI Developers.

Se llama GH-600. Y no es un curso online con diploma de consolación. Es un examen real, de 120 minutos, que certifica que sabes trabajar con agentes de IA en entornos de producción de verdad.

Lo que evalúa:

→ diseñar arquitecturas de agentes desde cero
→ gestionar memoria y estado en workflows autónomos
→ orquestar múltiples agentes sin que todo explote en producción
→ supervisar comportamiento autónomo y detectar fallos
→ implementar guardrails para que sean seguros y fiables

Antes, "trabajo con agentes de IA" en el CV era imposible de validar.

Ahora tiene nombre, examen y badge oficial de GitHub.

Las empresas ya saben cómo pedirlo.

La pregunta es si tú vas a estar preparado cuando empiecen a hacerlo.
https://t.co/8mf31ekdBI

[ZARA @HeyZaraKhan]

Become a Claude Certified Architect

Here are all the required resource in one place: (save it)

Training courses: https://t.co/kBXCuOrprM (13 free courses)
Cookbook: https://t.co/SLnSUT703t
Exam Guide: https://t.co/A2pbDcy8GC
Practice questions: https://t.co/90eXwUwL8i (free)
MCP documentation: https://t.co/SbwZI0eM61 (free)
API documentation: https://t.co/9rmnLWxRHE (free)
Partner Network: https://t.co/diT5OE5H0b (free to join)
Link to join: https://t.co/OXQyTmf4wD
Personal Playbook someone created after the exam: https://t.co/qhXan3XnBK

[Avinash Singh @AvinashSingh_20]

10 GitHub Repos To Learn in-depth Ai engineering !

1 :- https://t.co/H0GU9laXzT
2 :- https://t.co/cMUDbPKojT
3 :- https://t.co/6ZROJxbfYp
4 :- https://t.co/cOKeyPyERS
5 :- https://t.co/vlreU5F1QN
6 :- https://t.co/fw3opQU7wV
7 :- https://t.co/jjigzQKG1p
8 :- https://t.co/H3wnY4EH9r
9 :- https://t.co/v7LJeyMPz6
10 :- https://t.co/r3eOXdZ1sF

Bookmark it!

[Umesh Kumar Yadav @Umesh__digital]

As a backend engineer,

please learn:

- SOLID design principles
- Multithreading & concurrency
- Immutability
- Streaming & messaging systems
- Caching strategies
- Security: SSL/TLS, JWT , OAuth2
- Design patterns: Factory, Decorator, Singleton, Observer
- TDD (Test Driven Development)
- Event-driven architecture
- Message queues: Kafka, RabbitMQ
- Idempotency

Strong backend engineers do not just write code. They build reliable, scalable, secure systems.

All very important topics!

[Kshitij Mishra | AI & Tech @DAIEvolutionHub]

📂 SaaS Stack
┃
┣ 📂 Frontend
┃ ┣ 📂 React
┃ ┣ 📂 NextJS
┃ ┣ 📂 Vue
┃ ┣ 📂 TailwindCSS
┃ ┗ 📂 Shadcn UI
┃
┣ 📂 Backend
┃ ┣ 📂 NodeJS
┃ ┣ 📂 Django
┃ ┣ 📂 Laravel
┃ ┣ 📂 FastAPI
┃ ┗ 📂 Express
┃
┣ 📂 Database
┃ ┣ 📂 PostgreSQL
┃ ┣ 📂 MySQL
┃ ┣ 📂 MongoDB
┃ ┣ 📂 Redis
┃ ┗ 📂 Supabase
┃
┣ 📂 Auth
┃ ┣ 📂 Clerk
┃ ┣ 📂 Auth0
┃ ┣ 📂 Firebase Auth
┃ ┣ 📂 Supabase Auth
┃ ┗ 📂 NextAuth
┃
┣ 📂 Payments
┃ ┣ 📂 Stripe
┃ ┣ 📂 Paddle
┃ ┣ 📂 Dodo Payments
┃ ┣ 📂 Lemon Squeezy
┃ ┗ 📂 Polar
┃
┣ 📂 Emails
┃ ┣ 📂 Resend
┃ ┣ 📂 SendGrid
┃ ┣ 📂 Mailgun
┃ ┣ 📂 Postmark
┃ ┗ 📂 Amazon SES
┃
┣ 📂 Storage
┃ ┣ 📂 AWS
┃ ┣ 📂 Cloudflare
┃ ┣ 📂 Google Cloud Storage
┃ ┣ 📂 Supabase Storage
┃ ┗ 📂 Uploadcare
┃
┣ 📂 Deployment
┃ ┣ 📂 Vercel
┃ ┣ 📂 Netlify
┃ ┣ 📂 Railway
┃ ┣ 📂 Render
┃ ┗ 📂 AWS
┃
┣ 📂 Domains and DNS
┃ ┣ 📂 Namecheap
┃ ┣ 📂 Hostinger
┃ ┣ 📂 Cloudflare DNS
┃ ┣ 📂 Google Domains
┃ ┗ 📂 SiteGround
┃
┣ 📂 Analytics
┃ ┣ 📂 Google Analytics
┃ ┣ 📂 Plausible
┃ ┣ 📂 PostHog
┃ ┣ 📂 Mixpanel
┃ ┗ 📂 DataFast
┃
┣ 📂 Monitoring
┃ ┣ 📂 Sentry
┃ ┣ 📂 LogRocket
┃ ┣ 📂 Datadog
┃ ┣ 📂 NewRelic
┃ ┗ 📂 UptimeRobot
┃
┣ 📂 DevOps
┃ ┣ 📂 Docker
┃ ┣ 📂 Kubernetes
┃ ┣ 📂 GitHub Actions
┃ ┣ 📂 CI CD
┃ ┗ 📂 Terraform
┃
┣ 📂 Search
┃ ┣ 📂 Algolia
┃ ┣ 📂 Meilisearch
┃ ┣ 📂 Elasticsearch
┃ ┣ 📂 Typesense
┃ ┗ 📂 OpenSearch
┃
┣ 📂 AI Integration
┃ ┣ 📂 OpenAI API
┃ ┣ 📂 Anthropic API
┃ ┣ 📂 Replicate
┃ ┣ 📂 HuggingFace
┃ ┗ 📂 Gemini API
┃
┣ 📂 Integrations
┃ ┣ 📂 Zapier
┃ ┣ 📂 Make
┃ ┣ 📂 n8n
┃ ┣ 📂 Pabbly
┃ ┗ 📂 Webhooks
┃
┣ 📂 Security
┃ ┣ 📂 SSL
┃ ┣ 📂 Cloudflare
┃ ┣ 📂 WAF
┃ ┣ 📂 Rate Limiting
┃ ┗ 📂 Secrets Management
┃
┣ 📂 Marketing
┃ ┣ 📂 Search Console
┃ ┣ 📂 Outrank
┃ ┣ 📂 Buffer
┃ ┣ 📂 Analytics
┃ ┗ 📂 Kit
┃
┗ 📂 Customer Support
┣ 📂 Intercom
┣ 📂 Crisp
┣ 📂 Zendesk
┣ 📂 Tawk
┗ 📂 HelpScout

[Leonard Rodman @RodmanAi]

STOP WASTING 80% OF YOUR TOKENS.

If you use Claude Code, you're probably paying for garbage context.

I found 10 tools that feel illegal:

1. Caveman Claude
Talks like a caveman → cuts fluff → 75% fewer tokens

2. RTK (Rust Token Killer)
Filters terminal spam → saves 60–90% instantly

3. Code Review Graph
Reads only what matters → 49x reduction on big repos

4. Context Mode
Stores logs outside context → 98% savings

5. Claude Token Optimizer
Shrinks prompts → 11K → 1.3K tokens

6. Token Optimizer
Finds hidden token leaks → fixes silent killers

7. Token Optimizer MCP
Smart caching → 95%+ reduction

8. Claude Context
Turns your repo into smart search → 40% cheaper

9. Claude Token Efficient
1 file → forces brevity everywhere

10. Token Savior
Symbol-based navigation → 97% less waste

The real game (no one tells you this):

Most devs optimize prompts.

Smart devs optimize TOKEN FLOW.

Steal this stack:

• Big repo → Code Review Graph + Token Savior
• Terminal spam → RTK
• MCP overload → Context Mode
• Lazy fix → Caveman + Token Efficient

Run /context once…

…and watch your API bill collapse. 💸

[Nainsi Dwivedi @NainsiDwiv50980]

Holy shit... The guy who BUILT Claude Code is running 10–15 parallel AI agents like an engineering team.

Not prompts.
Systems.

His secret isn’t some hidden feature.

It’s a simple file:

CLAUDE.md

And it changes everything.

Every time Claude makes a mistake → it writes a rule.
Every correction → permanent memory.
Every session → smarter than the last.

> “Update your CLAUDE.md so you don’t make that mistake again.”

That’s the loop.

No repeated errors.
No wasted tokens.
No babysitting.

Just compounding intelligence inside your own codebase.

While most people:

Rewrite the same prompts

Fix the same bugs

Start from zero every time

He’s building a self-improving engineering system.

And it gets crazier:

• 10+ agents running in parallel
• Research, coding, testing — all split into sub-agents
• Clean context, zero clutter
• Complex problems = more agents, not more thinking

He hasn’t written SQL in 6+ months.
Claude just pulls from BigQuery via CLI.

This isn’t “AI-assisted coding.”

This is AI orchestration.

And the gap is already showing.

Claude Code is now contributing to ~4% of all public GitHub commits.

If you’re still using AI like a chatbot…

You’re not behind.

You’re playing a completely different game.

[そう｜Claude Codeで始めるAI自動化 @so_ainsight]

Claude Codeのトークンを最大90%削減するGitHubリポジトリ10選：

1. RTK（Rust Token Killer）
ターミナル出力をコンテキストに流す前にフィルタリング。よく使う開発コマンドで60〜90%削減できる。
https://t.co/KOoxtNuVhK

2. Context Mode
PlaywrightやGitHubのツール出力をSQLiteに退避して、クリーンな要約だけを会話に渡す。98%削減。
https://t.co/EL5PXYD3zO

3. code-review-graph
Tree-sitterでコードベースをローカルで知識グラフ化。Claudeが必要な部分だけ読むので大規模モノレポで49倍削減。
https://t.co/NFxP9RaT5O

4. Token Savior
ファイル全体ではなくシンボル単位でコードを参照するMCPサーバー。コードナビで97%削減、外部依存ゼロ。
https://t.co/Bp2Z8yGhBM

5. Caveman Claude
Claudeを穴居人口調で話させてアウトプットトークンを65〜75%削減。技術的な正確さは維持したまま。
https://t.co/sDWdUwoyOX

6. claude-token-efficient
CLAUDE(.)mdを一つ置くだけで出力を簡潔に保てる。コード変更なし、出力が多いセッションに最適。
https://t.co/Vme8BrAVuu

7. token-optimizer-mcp
キャッシュ・圧縮・スマートツール制御を備えたMCPサーバー。繰り返しのツール出力を圧縮して95%以上削減。
https://t.co/fcfM86jN0m

8. claude-token-optimizer
プロジェクトを最適化する再利用可能なセットアッププロンプト集。5分で90%のトークン節約ができる。
https://t.co/LKWBghEo6c

9. token-optimizer
コンテキストを静かに食い尽くすゴーストトークンを発見。コンパクション後も品質が劣化しない。
https://t.co/DYwlc5rO7A

10. claude-context（by Zilliz）
BM25＋ベクトル検索でコードベース全体をコンテキストにできるMCP。同等の検索精度で約40%削減。
https://t.co/JaxXXgaX9Y

保存して後で使いこなして。

[Prajwal @0xPrajwal_]

Golang is trending.

Seeing so many new role openings lately.

Go (Golang) Roadmap for Backend Engineers,
Who Want to Ship Fast:

1. Master the Basics : Syntax, variables, loops, functions, packages & modules

2. Understand Go’s Real Power : Structs, interfaces, composition & embedding

3. Master Pointers : Learn how they work, when to use them, and why they matter

4. Goroutines & Channels : The real reason people choose Go → master concurrency here

5. Error Handling : Learn proper error wrapping, custom errors & context

6. Build CLI Tools : Use → flag, cobra or urfave/cli,
make something useful

7. Work with Data : Files, JSON, YAML, HTTP clients & basic APIs

8. Build REST APIs : Use Gin or Fiber + proper routing, middleware & validation

9. Advanced Concurrency : Worker pools, pipelines, fan-in/fan-out, rate limiting

10. Database Layer : PostgreSQL + GORM or sqlx + proper connection pooling

11. Testing & Quality : Unit tests, table tests, benchmarks & integration tests

12. Production Ready : Docker, logging, graceful shutdown, config management, observability

Bonus Steps:
- Read Go source code of popular packages
- Build 3 real projects (Auth service, Background worker, Scraper)

Stop just “learning Go”

Follow this → become → production dangerous

Save it.
Follow it.
Ship it.

[Nico Bilinkis @nicobilinkis]

Un solo CLAUDE.md acaba de sumar 14.300 stars en 7 días.

No tiene código. No tiene CLI. No tiene dependencias.

Son cuatro reglas para hacer que Claude Code deje de delirar.

[Guillermo Rodas @guillermorodas]

Para los que hacen frontend, les recomiendo mucho estudiar Copilotkit, pero especialmente los protocolos AG-UI y A2UI.

Esto los va a diferenciar del resto en el mundo de Agentes de AI y van a tener trabajito.

[Haz @diegohaz]

These .claude/settings.json options fixed most of the issues I was having with Claude:

{
"model": "claude-opus-4-6",
"effortLevel": "high",
"alwaysThinkingEnabled": true,
"env": {
"CLAUDE_CODE_DISABLE_ADAPTIVE_THINKING": "1",
"MAX_THINKING_TOKENS": "31999"
},
}

[Akshay Shinde @ConsciousRide]

90% of Go interviews are just these 7 concepts repeated:

[Ritesh Roushan @devXritesh]

Go (Golang) Roadmap for Backend Engineers,
Who Want to Ship Fast:

1. Master the Basics : Syntax, variables, loops, functions, packages & modules

2. Understand Go’s Real Power : Structs, interfaces, composition & embedding

3. Master Pointers : Learn how they work, when to use them, and why they matter

4. Goroutines & Channels : The real reason people choose Go → master concurrency here

5. Error Handling : Learn proper error wrapping, custom errors & context

6. Build CLI Tools : Use → flag, cobra or urfave/cli,
make something useful

7. Work with Data : Files, JSON, YAML, HTTP clients & basic APIs

8. Build REST APIs : Use Gin or Fiber + proper routing, middleware & validation

9. Advanced Concurrency : Worker pools, pipelines, fan-in/fan-out, rate limiting

10. Database Layer : PostgreSQL + GORM or sqlx + proper connection pooling

11. Testing & Quality : Unit tests, table tests, benchmarks & integration tests

12. Production Ready : Docker, logging, graceful shutdown, config management, observability

Bonus Steps:
- Read Go source code of popular packages
- Build 3 real projects (Auth service, Background worker, Scraper)

Stop just “learning Go”

Follow this → become → production dangerous

Save it.
Follow it.
Ship it.

Who’s starting this journey in 2026?

[Dhanian 🗯️ @e_opore]

📂 Hospital Management System Tech Stack
┃
┣ 📂 Frontend
┃ ┣ 📂 React (Web Dashboard)
┃ ┣ 📂 Next.js (SSR & Performance)
┃ ┣ 📂 TailwindCSS (Styling)
┃ ┣ 📂 TypeScript (Type Safety)
┃ ┗ 📂 Mobile (React Native / Flutter)
┃
┣ 📂 Backend
┃ ┣ 📂 Node.js (Express / NestJS)
┃ ┣ 📂 Java (Spring Boot)
┃ ┣ 📂 Python (Django / FastAPI)
┃ ┗ 📂 REST / GraphQL APIs
┃
┣ 📂 Database
┃ ┣ 📂 PostgreSQL (Relational Data)
┃ ┣ 📂 MySQL
┃ ┣ 📂 MongoDB (Flexible Records)
┃ ┗ 📂 Redis (Caching & Sessions)
┃
┣ 📂 Authentication & Security
┃ ┣ 📂 JWT / OAuth 2.0
┃ ┣ 📂 Role-Based Access Control (RBAC)
┃ ┣ 📂 Encryption (HTTPS, AES)
┃ ┣ 📂 HIPAA / GDPR Compliance
┃ ┗ 📂 Multi-Factor Authentication (MFA)
┃
┣ 📂 Infrastructure
┃ ┣ 📂 AWS / GCP / Azure
┃ ┣ 📂 Docker (Containerization)
┃ ┣ 📂 Kubernetes (Orchestration)
┃ ┣ 📂 Nginx (Reverse Proxy)
┃ ┗ 📂 CDN (Cloudflare)
┃
┣ 📂 DevOps
┃ ┣ 📂 CI/CD (GitHub Actions / GitLab CI)
┃ ┣ 📂 Monitoring (Prometheus / Grafana)
┃ ┣ 📂 Logging (ELK Stack)
┃ ┗ 📂 Error Tracking (Sentry)
┃
┣ 📂 Integrations
┃ ┣ 📂 Payment Gateways (Stripe, PayPal)
┃ ┣ 📂 SMS & Email (Twilio, SendGrid)
┃ ┣ 📂 EHR/EMR Systems
┃ ┣ 📂 Insurance APIs
┃ ┗ 📂 Lab & Pharmacy Systems
┃
┣ 📂 Core Modules
┃ ┣ 📂 Patient Management
┃ ┣ 📂 Doctor Management
┃ ┣ 📂 Appointment Scheduling
┃ ┣ 📂 Billing & Invoicing
┃ ┣ 📂 Pharmacy Management
┃ ┣ 📂 Laboratory System
┃ ┗ 📂 Electronic Medical Records (EMR)
┃
┣ 📂 Analytics & Reporting
┃ ┣ 📂 Dashboard (Admin Insights)
┃ ┣ 📂 Reports (Revenue, Patients)
┃ ┣ 📂 Data Visualization (Charts)
┃ ┗ 📂 AI Predictions (Optional)
┃
┣ 📂 Notifications
┃ ┣ 📂 Email Alerts
┃ ┣ 📂 SMS Reminders
┃ ┣ 📂 Push Notifications
┃ ┗ 📂 In-App Notifications
┃
┣ 📂 Testing
┃ ┣ 📂 Unit Testing (Jest, Mocha)
┃ ┣ 📂 Integration Testing
┃ ┣ 📂 E2E Testing (Cypress, Playwright)
┃ ┗ 📂 Security Testing
┃
┗ 📂 Scalability & Performance
┣ 📂 Load Balancing
┣ 📂 Horizontal Scaling
┣ 📂 Database Optimization
┣ 📂 Caching Strategies
┗ 📂 Microservices Architecture

[Suryansh Tiwari @Suryanshti777]

Best GitHub repos for Claude Code that will 10x your next project in 2026

1. Claude Mem
https://t.co/WmiD5AAx1Z
Persistent memory across sessions — stop re-teaching Claude your codebase

2. UI UX Pro Max https://t.co/g4lj2zG2nB
50+ styles, 161 color palettes, 99 UX guidelines — Claude stops building ugly UIs

3. n8n-MCP…https://t.co/g4lj2zG2nB
Connect Claude Code to 400+ n8n integrations via MCP

4. LightRAG https://t.co/qbwQ7GBnxV
Graph + vector RAG — lets Claude understand large codebases structurally

5. Everything Claude Code https://t.co/7dxbL8jUbF
Skills, instincts, security scanning, multi-language coverage — full agent harness

6. Awesome Claude Code https://t.co/II7ntewUL6
Community bible — curated skills, hooks, slash commands, orchestrators

7. Superpowers https://t.co/3LcOFcVsNO
Forces structured thinking before writing a single line of code

8. Claude Code Ultimate Guide https://t.co/mvV0g4D78Y
23K+ lines of docs, 219 templates, 271 quizzes — beginner to power user

9. Antigravity Awesome Skills https://t.co/II7ntewUL6
1,200+ ready-to-use skills — one of the largest collections

10. Claude Agent Blueprints https://t.co/gAf7Hui34Z
75+ agent workspace templates beyond coding

11. VoiceMode MCP
https://t.co/9SDK59p0X7
Natural voice conversations with Claude Code via Whisper + Kokoro

12. Awesome Claude Plugins
https://t.co/wYFlUGdFjZ
9,000+ repos indexed with adoption metrics — find what people actually install

Bookmark this before your next build.