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Practical guides and insights on artificial intelligence, the cloud and software development for businesses. Written by the Codebaker team, they gather what we have learned working every day with SMEs and companies in manufacturing, logistics and food.
Grafana and Prometheus are great engines but with an engineer-only UI. How we extended our internal tool KDR to Kubernetes cluster observability and self-service logs for developers.
You built an app in Flutter: now comes the hard part, the release. How a CI/CD pipeline with Fastlane makes mobile app and software deployment reproducible, safe and independent of who runs it.
Between the client who talks business and the team that thinks in code, you need a connecting figure. How UI/UX design, frontend skills and coordination on Figma prevent misunderstandings and speed up development.
How to choose the right software house for your project: evaluation criteria, questions to ask, red flags and the differences between a software house, an agency and a freelancer.
The technology trends of 2026 that matter for businesses: on-device AI, collaborative robotics, smart mobility and Industry 5.0 applied to manufacturing and logistics.
How to make sure your company gets cited by AI engines like ChatGPT, Perplexity and Gemini: practical Generative Engine Optimization (GEO) strategies.
Who Mark Zuckerberg is, how Facebook was born, how the blue social network changed over 20 years up to Meta, and which technologies were created inside the company.
What a web app is, types, development phases, technologies, timelines and how much a web application costs in 2026. Complete guide with price ranges.
Companies no longer look for sysadmins but Cloud Engineers who know how to consume a service, not build one. Lock-in, cloud vs bare-metal costs and skills compared, figures in hand.
The problem with AI in companies is not the technology, it is the mindset. A Sales Account's reflection on the culture of change, efficiency and the danger of 'we've always done it this way'.
Codebaker's monthly update on the LLM world: Hermes and agents that remember, the TOON format to save tokens, Graphify, the Markdown vs HTML debate and Karpathy moving to Anthropic.
Backing up a VM means saving a monolith of hundreds of GB. On Kubernetes the declarative state is enough: a few MB of YAML plus the data. How we separate files, databases and configurations — and why we wrote the tool ourselves.
60-80 containers on a VM with Docker Compose no longer scaled. We moved to Kubernetes on Talos OS integrated with vSphere: real autoscaling, real persistent storage and parity with Scaleway production.
A single shared specification across backend, React and Flutter removes misalignments between layers and also speeds up work with AI: fewer bugs, faster onboarding, correct code on the first try.
A complete guide from assessment to implementation. Discover how to integrate AI into business processes in a concrete and measurable way.
Artificial intelligence is not just for large companies. Discover what SMEs can concretely do with AI, even on a limited budget.
How to use ChatGPT and other AI tools safely in your company. Concrete risks, best practices and policies to implement.
Not all AI consultants are the same. Here are the right questions to ask, the red flags and the criteria for choosing the right partner.