А͓̽л͓̽ь͓̽б͓̽е͓̽р͓̽т͓̽

UI/UX Design Expert || Java Programming || Love Artificial intelligence || Remain allert always, Tech's movin' first.

[А͓̽л͓̽ь͓̽б͓̽е͓̽р͓̽т͓̽ @Albert_K254]

https://t.co/AO8ZQhE0Ad

[А͓̽л͓̽ь͓̽б͓̽е͓̽р͓̽т͓̽ @Albert_K254]

Ready to turn your ideas into reality? Let’s collaborate! DM for inquiries or details.

[А͓̽л͓̽ь͓̽б͓̽е͓̽р͓̽т͓̽ @Albert_K254]

A web application that seamlessly connects cooking gas distributors with their customers using real-time map integration, enabling users to request gas deliveries quickly and track orders just like Uber. @blinkdotnew

[А͓̽л͓̽ь͓̽б͓̽е͓̽р͓̽т͓̽ @Albert_K254]

https://t.co/jAZIRjJdtM

[А͓̽л͓̽ь͓̽б͓̽е͓̽р͓̽т͓̽ @Albert_K254]

🌆 Imagine a world where technology transforms urban living! Smart cities utilize IoT, AI, and sustainable practices to enhance our daily lives. From intelligent traffic systems to efficient energy use, we're seeing a major shift. #SmartCity #UrbanInnovation #Sustainability

[Zach Wilson @Zachly]

AI Engineering has levels to it:

– Level 1: Using AI
Start by mastering the fundamentals:
-- Prompt engineering (zero-shot, few-shot, chain-of-thought)
-- Calling APIs (OpenAI, Anthropic, Cohere, Hugging Face)
-- Understanding tokens, context windows, and parameters (temperature, top-p)

With just these basics, you can already solve real problems.

– Level 2: Integrating AI
Move from using AI to building with it:
-- Retrieval Augmented Generation (RAG) with vector databases (Pinecone, FAISS, Weaviate, Milvus)
-- Embeddings and similarity search (cosine, Euclidean, dot product)
-- Caching and batching for cost and latency improvements
-- Agents and tool use (safe function calling, API orchestration)

This is the foundation of most modern AI products.

– Level 3: Engineering AI Systems
Level up from prototypes to production-ready systems:
-- Fine-tuning vs instruction-tuning vs RLHF (know when each applies)
-- Guardrails for safety and compliance (filters, validators, adversarial testing)
-- Multi-model architectures (LLMs + smaller specialized models)
-- Evaluation frameworks (BLEU, ROUGE, perplexity, win-rates, human evals)

Here’s where you shift from “it works” to “it works reliably.”

– Level 4: Optimizing AI at Scale
Finally, learn how to run AI systems efficiently and responsibly:
-- Distributed inference (vLLM, Ray Serve, Hugging Face TGI)
-- Managing context length and memory (chunking, summarization, attention strategies)
-- Balancing cost vs performance (open-source vs proprietary tradeoffs)
-- Privacy, compliance, and governance (PII redaction, SOC2, HIPAA, GDPR)

At this stage, you’re not just building AI—you’re designing systems that scale in the real world.

What else would you add?

[Dhanian 🗯️ @e_opore]

Full-Stack Roadmap for Developers in 2025 →

1. Core Stuffs

→ Learn how the web works (HTTP, client-server model, DNS, REST).
→ Understand data structures & algorithms (arrays, hashmaps, trees, sorting, searching).
→ Master a programming language (Java, Python, Go, JavaScript/TypeScript, C#).

2. Frontend Development

→ HTML, CSS, JavaScript fundamentals.
→ Modern frameworks → React, Next.js.
→ UI/UX essentials → responsive design, accessibility, component-driven development.

3. Databases & Data Persistence

→ SQL Databases → PostgreSQL, MySQL.
→ NoSQL Databases → MongoDB, Redis.
→ Learn ORMs → Prisma, Mongoose, Hibernate.

4. Backend Frameworks & API Design

→ Java → Spring Boot
→ Python → Django / FastAPI
→ Go → Gin / Fiber
→ REST APIs → CRUD, status codes, versioning
→ GraphQL → Queries, Mutations, Subscriptions

5. Authentication & Security

→ JWT, OAuth2, SSO
→ Secure coding → OWASP Top 10
→ CORS & headers management

6. System Design & Scalability

→ Caching → Redis, Memcached
→ Load balancing
→ Message queues → Kafka, RabbitMQ
→ Logging & Monitoring → Prometheus, Grafana

7. DevOps & Deployment

→ Git & GitHub/GitLab
→ CI/CD pipelines
→ Docker & Kubernetes
→ Cloud Platforms → AWS, GCP, Azure

📘 Get the Full-Stack Developer Ebook here( it covers everything above):
https://t.co/vAmL2nrSCL

[TRÄW🤟 @thatstraw]

Docker components explained

[Saquib Aftab @iamsaquibdev]

Backend Roadmap for Developers in 2025 👉

1. Core Stuffs
- Learn how the web works (HTTP, client-server model, DNS, REST).
- Understand data structures & algorithms (arrays, hashmaps, trees, sorting, searching).
- Master a programming language (Java, Python, Go, JavaScript/TypeScript, C#).

2. Databases
- SQL Databases → MySQL, PostgreSQL (Joins, Indexing, Transactions).
- NoSQL Databases → MongoDB, Redis, Cassandra.
- Learn ORMs (Hibernate, Prisma, etc.).

3. Backend Frameworks
- Java → Spring Boot
- Python → Django / FastAPI
- Go → Gin / Fiber

4. APIs
- REST APIs → CRUD, status codes, versioning.
- GraphQL → Queries, Mutations, Subscriptions.
- Authentication & Authorization → JWT, OAuth2, SSO.

5. System Design Basics
- Scalability & Performance.
- Caching (Redis, Memcached).
- Load Balancing.
- Message Queues (Kafka, RabbitMQ).
- Logging & Monitoring.

6. DevOps & Deployment
- Git & GitHub/GitLab (version control).
- CI/CD pipelines.
- Docker & Kubernetes (containerisation).
- Cloud Platforms → AWS, GCP, Azure.

[Tech Fusionist @techyoutbe]

DevOps Interview - Quick Cheat Sheet 🔥

[Csaba Kissi @csaba_kissi]

Top Sites to get FREE HTML/CSS Templates.

html5-templates .com
mashup-template .com
onepagelove .com
templatemo .com
freehtml5 .co
graygrids .com
uicookies .com
w3layouts .com
free-css .com
mobirise .com
nicepage .com
templated .co
tooplate .com
html5up .net

[Tech Fusionist @techyoutbe]

Step-1: Learn Linux Fundamentals
Step-2: Master Git and Version Control
Step-3: Understand Networking Basics
Step-4: Learn Scripting (Bash, Python)
Step-5: Master CI/CD Concepts (Jenkins, GitLab)
Step-6: Learn Containerization (Docker)
Step-7: Master Orchestration (Kubernetes)
Step-8: Learn Cloud Platforms (AWS, Azure, GCP)
Step-9: Understand Infrastructure as Code (Terraform, Ansible)
Step-10: Learn Monitoring and Logging Tools (Prometheus, ELK)
Step-11: Practice Automation Everywhere!
Step-12: Stay updated on DevOps best practices

🏆 Congratulations, you're a DevOps Engineer!

#DevOps

[Jay @JuwonTheTechie]

AWS Certifications — 100% FREE! 🚨

No catch. No credit card.

AWS is giving away free vouchers for some of their
most in-demand certs:

🎓 Cloud Practitioner
🤖 AI & ML Foundation
🧠 ML Engineer Associate
🛠 Solutions Architect
👨‍💻 Developer Associate
📊 Data Engineer
⚙️ SysOps Admin

🗓 Deadline: Nov 30, 2025 — don’t sleep on this!
Here’s how to grab yours: 👇🏾👇🏾

[Neo Kim @systemdesignone]

10 sites to find software engineering jobs

(that one day might save you):

[PyQuant News 🐍 @pyquantnews]

The highest value skills you can have:

[Sahn Lam @sahnlam]

Useful Algorithms for System Design Interviews

[Nina @HeyNina101]

everyone says they want to understand LLMs.
this repo makes you prove it.

you write the attention.
you train from scratch.
you break it. then fix it.

no huggingface. no walkthroughs.

#llm

[sachin. @sachinyadav699]

Stop grinding LeetCode.
Learn Docker, Redis, queues, auth, load balancers, and how to debug prod.

You’ll be 10x more hireable than someone who solved 500 DP problems.

[Lavanya Jain (lav) @ilavanyajain]

stop wasting time on leetcode.

learn docker, redis, queues, auth, load balancers, and how to debug prod.

you’ll be 10x more hireable than someone who solved 500 dp questions.

[Csaba Kissi @csaba_kissi]

Back-end developer:

∟📂 Server-side programming (Python, Java, PHP, NodeJs, Go...)
∟📂 Databases (e.g., SQL, NoSQL)
∟📂 APIs and web services
∟📂 Security and authentication
∟📂 Caching and performance tuning
∟📂 Scalability and load balancing
∟📂 Deployment and DevOps
∟📂 Data structures and algorithms
∟📂 File storage and object storage (S3)
∟📂 Error handling and logging
∟📂 Testing
∟📂 Background jobs and task scheduling
∟📂 Continuous integration and delivery
∟📂 Containerization and orchestration (Docker, Kubernetes)
∟📂 Message queues and stream processing (RabbitMQ, Kafka)