Agents generate useful code quickly when the project is simple, documented, and predictable. Rails helps because it has strong conventions. MongoDB helps when the data already exists and the app does not need SQL migrations. The main rule is still KISS: complexity is the enemy. Use README as the Source of Truth The best optimization… more
Fast Code Generation with Agents, Rails, and MongoDB
Hardening a HomeLab with Both Public and Private IPs
Why This Setup Is Different 1. Management Plane: Lock Down How You Log In 2. Remote Access: VPN Over Port Forwarding 3. Segment Public-Facing Services Into a DMZ 4. Quarantine Untrusted Devices (IoT) 5. Cloudflare: Protect the Origin 6. Disable What You Don’t Use 7. Visibility: You Cannot Secure What You Cannot See 8. Recoverability:… more
Firewall Architecture for a HomeLab: Simplicity as a Security Feature
Before You Touch Anything: Safe Mode The Core Principle: Keep It Readable Use Interface Lists, Not Interface Names Default Deny, With Logging The Input Chain: Protecting the Router Itself The Forward Chain: Controlling What Passes Through Context: VLAN Segmentation Context: Sitting Behind Cloudflare What to Leave Out Summary
Fully Securing OVH Mail under Cloudflare Nameservers
The Challenge and the Golden Rule (proxied = false) When delegating your domain’s nameservers to Cloudflare, the registrar (OVH) no longer manages its DNS records. Consequently, all OVH mail hosting DNS records must be explicitly set up in Cloudflare. ⚠️ THE GOLDEN MAIL RULE ON CLOUDFLARE: Every DNS record used for mail routing and handling… more
Managing Cloudflare with Terraform
Managing DNS and network infrastructure using an Infrastructure as Code (IaC) approach brings massive benefits. Utilizing Terraform to configure Cloudflare allows you to: Track Changes: Every modification to a DNS record or firewall rule goes through your version control system (Git). Speed of Changes & Easier Maintainability: Rapidly deploy and easily maintain identical security and… more
RAG in Practice: Anti-Patterns, Best Practices, and Why Simplicity Wins
Retrieval-Augmented Generation (RAG) promises to combine external knowledge sources with the capabilities of large language models. In theory, the concept is simple: retrieve the right information, provide it to the model, and generate an answer. In practice, many implementations fail to deliver the expected results. The problem is rarely the model itself. It is rarely… more
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Multimodal RAG for Images – 2026 Guide
Multimodal RAG lets you search an image database with text or images, then generate intelligent responses. It combines three technologies: embedding model, vector database, and multimodal LLM. How the Landscape Changed in 7 Years Around 2019, we built data processing systems RAG with numpy, scikit-learn, RabbitMQ, and PostgreSQL. Today, the ecosystem shifted completely – instead… more
Datadog, Growing Trend Reshaping Observability in Enterprises
Popular Trend: Migration to Datadog In recent years, we’ve observed a clear uptick in companies migrating to Datadog. This trend is no longer limited to monitoring microservices infrastructure—serverless, VMs, and containers. More and more organizations want to expand Datadog to provide full observability coverage, including monitoring and alerting for entire data pipelines. One of the… more
Python Intern
What we offer What we’re looking for Cooperation form Internship via PUP Wrocław · up to 1, 3, 6 months · full time