Bannerbear Blog
Guides on automating and scaling your marketing activities
How to Design Impactful & Reusable Youtube Thumbnail Templates
Doing the work to build a template system upfront will offer speed and flexibility in the long-run. Check out our top tips for designing YouTube thumbnail templates that work!
MCP vs. API: What's the Difference
Learn the difference between API and MCP (Model Context Protocol), including what they are, key differences, and how they work together in AI workflows.
Webhooks vs APIs Explained (With a Real-World Example)
What's the difference between a Webhook and an API — and when should you use one over the other?
Adding Links to Graphics at Scale: A Bannerbear Guide
Links in graphics aren't complicated, but they're easy to get wrong at scale. Here's how to set up your Bannerbear image templates to generate links that work consistently!
7 Best AI for Coding in 2026
Looking for the best AI for coding in 2026? In this article, we compared GitHub Copilot, Cursor, Windsurf, Lovable, Claude Code, and more, so you can find the right tool for your workflow, skill level, and budget.
How to Generate Bannerbear Images Based on Conditional Logic (Make.com Tutorial)
Learn all about Make.com's router and filter features, and how to use them to generate Bannerbear images only when conditions are met, saving credits and resources.
Best Coding Languages to Learn in 2026 (Especially If You're Into Vibe Coding)
Exploring coding in 2026 because of AI? In this article, you’ll discover the best programming language to learn, whether you're vibe coding with AI tools or building real projects from scratch.
How to Vibe-Code a Certificate Maker with Claude Code and Bannerbear
In this tutorial, you’ll learn how to vibe-code a certificate maker web app with a live preview form using Claude Code and the Bannerbear API.
6 Basic Coding Concepts for Vibe Coding Beginners in 2026
New to coding but using AI coding tools like Claude Code or GitHub Copilot? This beginner's guide covers the essential coding concepts you need to understand so you can work with AI more effectively, debug easily, and build real things fast.
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