TOCHUKWU (TOBOSS)

[Kirk Borne @KirkDBorne]

The Art and the Craft of Software Design in the Age of AI: https://t.co/QaEIUaqlrQ

[Manning Publications @ManningBooks]

AI can help you write code, but you still need to know what to build, how to test it, and when to step in.

Our free ebook, Claude for Software Engineers, explores how to use Claude Code, break features into manageable stages, and build AI-assisted testing into your workflow.

[TOCHUKWU (TOBOSS) @toboss15]

@DamilohunA @grok which church is this

[Sefyu @Sefyu64]

As I have said in the past:

IAM jobs are going to explode in the next 6-12 months and 99% of people are not ready for that.

You're still early. Lock in.

[Manning Publications @ManningBooks]

What happens inside an LLM after you hit enter?

Our free Inside the LLM ebook covers transformer architecture, GPT construction, and text generation with chapters from four books.

Get it here: https://t.co/1kSYiZI6LN

And check the thread for deals on the four featured books:
• Build a Large Language Model (From Scratch) by @rasbt
• Transformers in Action by Nicole Koenigstein
• How Large Language Models Work by @EdwardRaffML, @drewfarris, and @BlancheMinerva
• Deep Learning with Python, Third Edition by @fchollet and Matthew Watson

[Python Coding @clcoding]

Want to Go from Python Beginner to Building Real-World AI Applications?

Check out the Python Mega Course: Build 20 Real-World Apps and AI Agents!

If you're looking to level up your Python skills, this course offers a practical learning journey from the fundamentals to advanced development.

What can you learn?

Python programming from beginner to pro
Web development and API building
Automation with Python
Data science projects
AI agents and real-world applications
Build and deploy practical projects

Detailed Explanation: https://t.co/GXm7XsrdzD

[Ewgi @Ssaasquatch]

I have learnt a lot from him. Recommend

[JoBelle @Jojo_agboola]

UK autumn budget is confirmed for 28 October 2026.

I’m hearing rumors that visa fees might go up again. Hope it doesn’t cause the cost of living is affecting everyone

[soph @_brumxx]

If a Nigerian gave this level and detail of feedback; they will be broke shamed and say “what do you know, you don’t have money”

[Smart👨‍💻 | Software Engineer @smartnakamoura]

If you want to get better at API design:

Bookmark these:

→ REST API Design Rulebook
→ Microsoft REST API Guidelines
→ Google API Design Guide
→ Zalando RESTful API Guidelines
→ OpenAPI Specification
→ OWASP API Security Top 10

Study:

Versioning
Pagination
Filtering
Error responses
Idempotency
Rate limits
Authentication

A good API makes the next engineer’s job easier.

[Kirk Borne @KirkDBorne]

Agentic Coding with OpenAI Codex CLI — Build intelligent agent workflows using Agentic Engineering, MCP, hooks, and delivery automation: https://t.co/O5dy3iUKSv via @PacktPublishing @PacktDataML

𝙏𝙖𝙗𝙡𝙚 𝙤𝙛 𝘾𝙤𝙣𝙩𝙚𝙣𝙩𝙨:
🔵What Is Codex CLI?
🟠Getting Started with Codex CLI
🔵Prompting Codex CLI Effectively
🟠AGENTS.md: Patterns and Pitfalls
🔵Approval Modes and Trust Boundaries
🟠Model Selection and Reasoning Effort
🔵Context Window Management
🟠MCP: Consuming and Serving
🔵Hooks: Intercepting the Agent Lifecycle
🟠The Skills Ecosystem: Using and Writing Skills
🔵Sub-Agents and Parallel Execution
🟠Multi-Agent Orchestration Patterns
🔵Worktrees and Isolated Execution
🟠Cost Management and Quota Strategy
🔵CI/CD Integration
🟠Security Hardening
🔵Enterprise Deployment
🟠Debugging and Diagnosing Agent Failures

[Beaver @Beaver_0x]

WHOEVER LEAKED THIS CLAUDE CODE SETUP DESERVES A RAISE

I thought the best way to use Claude Code was to just throw Opus at everything.

Apparently not.

Anthropic’s setup is much more interesting:

→ Sonnet 5.5 runs the main session and actually builds the thing
→ Haiku 5.5 swarms the repo for file discovery, AST scans, grep, and docs
→ Opus 5.5 stays in the background as the architect
→ Opus gets called in before big plans, after repeated test failures, and before shipping
→ JEV handles the boring mechanical routing in ~16ms so frontier models only wake up when real reasoning is needed

so you get:

Opus reviews. Sonnet builds. Haiku swarms. JEV routes.

the interesting part isn’t using multiple models.
it’s giving each model a different job.

Instead of burning Opus context on finding files and running routine commands, you save it for the moments where architectural judgment actually matters.

Plan on high.Delegate on medium. Keep Opus on call.

[Arindam Majumder 𝕏 @Arindam_1729]

WHOEVER LEAKED THIS CLAUDE CODE SETUP DESERVES A RAISE

I thought the best way to use Claude Code was to just throw Opus at everything.

Apparently not.

Anthropic’s setup is much more interesting:

→ Sonnet 5.5 runs the main session and actually builds the thing
→ Haiku 5.5 swarms the repo for file discovery, AST scans, grep, and docs
→ Opus 5.5 stays in the background as the architect
→ Opus gets called in before big plans, after repeated test failures, and before shipping
→ JEV handles the boring mechanical routing in ~16ms so frontier models only wake up when real reasoning is needed

so you get:

Opus reviews. Sonnet builds. Haiku swarms. JEV routes.

the interesting part isn’t using multiple models.
it’s giving each model a different job.

Instead of burning Opus context on finding files and running routine commands, you save it for the moments where architectural judgment actually matters.

Plan on high.Delegate on medium. Keep Opus on call.

[Umesh Kumar Yadav @Umesh__digital]

Want to Become a Strong Backend Engineer?

Solving LeetCode problems is only one part of the journey....

Here are 10 skills that a software builder needs:

— Concurrency & Multithreading: Thread safety, synchronization, race conditions, deadlocks, and asynchronous execution.

— System Design: Scalability, load balancing, API design, bottlenecks, and architectural trade-offs.

— Database Engineering: Indexing strategies, query optimization, transactions, normalization, and caching with Redis.

— Distributed Systems: Replication, leader election, consistency models, network failures, and distributed coordination.

— Fault Tolerance: Timeouts, retry policies, exponential backoff, circuit breakers, and graceful degradation.

— Event-Driven Architecture: Kafka, RabbitMQ, SQS, message ordering, idempotency, and delivery semantics.

— Application Security: OAuth 2.0, JWT validation, TLS/mTLS, access control, and secure API communication.

— Observability & Debugging: Logs, metrics, distributed tracing, OpenTelemetry, and production incident analysis.

— Practical Problem Solving: Implement an LRU cache, rate limiter, job scheduler, thread-safe queue, and producer-consumer pipeline.

— Performance Optimization: JVM memory usage, CPU profiling, database bottlenecks, connection pools, and N+1 query issues.

The real goal isn't just to write code that works.
It is to build software that remains secure, fast, and reliable under real. world conditions.

Save this roadmap for your backend engineering preparation.

[Smart👨‍💻 | Software Engineer @smartnakamoura]

Need backend projects to build?

Try:

→ URL shortener
→ Rate limiter
→ Job queue
→ Webhook service
→ Notification system
→ Payment ledger
→ Fraud scoring engine
→ API gateway
→ Distributed cache
→ Reconciliation system

Don’t build another todo app.

Build something that forces you to deal with failure.

[Jaydeep @_jaydeepkarale]

Don’t overthink backend in the AI era.

You still need the fundamentals.

• Learn HTTP → how the web talks
• Learn Databases → how data lives
• Learn Caching → how apps get fast
• Learn Auth → how users stay safe
• Learn APIs → how systems connect
• Learn Queues & Background Jobs → how async work happens
• Learn Logging & Observability → how production gets debugged
• Learn Testing & CI/CD → how software ships reliably

Then add the AI layer:

• LLM APIs → how applications use intelligence
• RAG & Retrieval → how AI gets context
• Tool Calling → how AI interacts with systems
• Agents & Workflows → how AI executes tasks
• Evals & Guardrails → how AI becomes reliable

Master the fundamentals first. AI is another layer on top of them.

[Dhanian 🗯️ @e_opore]

BACKEND DEVELOPER 2026
│
├── 1. Programming Fundamentals
│ ├── Variables & Data Types
│ ├── Functions & OOP
│ ├── Data Structures & Algorithms
│ ├── Error Handling
│ └── Git & GitHub
│
├── 2. Web Fundamentals
│ ├── How the Internet Works
│ ├── HTTP / HTTPS
│ ├── DNS & TCP/IP
│ ├── JSON & XML
│ ├── Cookies & Sessions
│ └── REST & WebSockets
│
├── 3. Choose a Backend Language
│ ├── JavaScript / TypeScript → Node.js
│ ├── Python → Django / FastAPI
│ ├── Java → Spring Boot
│ ├── Go → Gin
│ └── C# → ASP. NET Core
│
├── 4. Backend Frameworks
│ ├── Routing & Middleware
│ ├── Controllers & Services
│ ├── Dependency Injection
│ ├── Validation
│ └── Configuration Management
│
├── 5. Databases
│ ├── SQL
│ │ ├── PostgreSQL
│ │ ├── MySQL
│ │ └── Joins, Indexes & Transactions
│ ├── NoSQL
│ │ └── MongoDB
│ └── Database Tools
│ ├── Migrations
│ ├── ORMs
│ └── Query Optimization
│
├── 6. API Development
│ ├── RESTful APIs
│ ├── CRUD Operations
│ ├── Pagination & Filtering
│ ├── API Versioning
│ ├── OpenAPI / Swagger
│ ├── GraphQL
│ └── gRPC
│
├── 7. Authentication & Security
│ ├── Authentication & Authorization
│ ├── Password Hashing
│ ├── Sessions & JWT
│ ├── OAuth 2.0 / OpenID Connect
│ ├── RBAC & Permissions
│ ├── Rate Limiting
│ └── OWASP Security Practices
│
├── 8. Caching & Messaging
│ ├── Redis
│ ├── HTTP Caching
│ ├── Background Jobs
│ ├── RabbitMQ
│ ├── Apache Kafka
│ └── Event-Driven Architecture
│
├── 9. Testing
│ ├── Unit Testing
│ ├── Integration Testing
│ ├── API Testing
│ ├── End-to-End Testing
│ └── Load Testing
│
├── 10. DevOps & Cloud
│ ├── Linux & Bash
│ ├── Docker
│ ├── CI/CD
│ ├── GitHub Actions
│ ├── Nginx & Reverse Proxies
│ ├── AWS / Azure / Google Cloud
│ └── Kubernetes (Advanced)
│
├── 11. Observability & Reliability
│ ├── Structured Logging
│ ├── Metrics & Monitoring
│ ├── Distributed Tracing
│ ├── OpenTelemetry
│ ├── Health Checks & Alerts
│ └── Backups & Recovery
│
├── 12. System Design
│ ├── Monolith vs Microservices
│ ├── Load Balancing
│ ├── Horizontal Scaling
│ ├── Replication & Sharding
│ ├── CAP Theorem
│ ├── Fault Tolerance
│ └── Distributed Systems
│
├── 13. Advanced Architecture
│ ├── Clean Architecture
│ ├── Domain-Driven Design
│ ├── Design Patterns
│ ├── CQRS & Event Sourcing
│ ├── API Gateways
│ ├── Saga Pattern
│ └── Multi-Tenant Systems
│
├── 14. Real-World Projects
│ ├── Authentication API
│ ├── Blog API
│ ├── E-commerce Backend
│ ├── Real-Time Chat System
│ ├── URL Shortener
│ ├── Job Queue System
│ └── Production-Ready SaaS API
│
└── 15. Professional Readiness
├── GitHub Portfolio
├── Technical Documentation
├── Open-Source Contributions
├── Data Structures & Algorithms
├── Backend Interviews
└── System Design Interviews

The Complete Structural Formula

Programming → Web Fundamentals → Language → Framework → Database → APIs → Security → Caching & Messaging → Testing → DevOps & Cloud → Observability → System Design → Advanced Architecture → Projects → Backend Developer

2026 principle: Master one language, one backend framework, one relational database, and API security first. Then expand into caching, messaging, cloud infrastructure, and distributed systems.

[Ewgi @Ssaasquatch]

You people want to scatter my head but God pass una

[Kirk Borne @KirkDBorne]

How to Win — A Mathematical Approach to Games and Puzzles: https://t.co/6rhKFegzr3

[freeCodeCamp.org @freeCodeCamp]

Good UI/UX design starts with basic ideas and grows into polished, interactive prototypes.

In this course, Wish teaches you how to design professional interfaces with Figma.

You'll create wireframes, style guides, components, Auto Layout designs, and high-fidelity prototypes for real-world apps.

https://t.co/zQN2FsDVi7