All Content Project Management Design Angular React Backend DevOps
Design

Figma's MCP Just Gave AI Agents 'Write' Access. A First Look at What It Can Do.

Figma recently announced that AI agents can now write directly to Figma's canvas through their MCP server. It's a big deal. For designers and developers who've struggled to keep code and designs in sync, the idea of an agent that can generate components the right way, apply variables, and work within your design system is the kind of thing that sounds too good to be true.

Ali Shouman

Ali Shouman

Project Management

How to Build KPI Trees with AI: A Miro Sidekick Implementation Guide

What Is a KPI Tree — And Why Does Your Product Team Need One?

The hardest part of strategic planning isn't capturing all the details. It's getting started.

Paul Herzog

Paul Herzog

React

How to Achieve a 50% Productivity Boost with Copilot and MCP

Can we develop 50% faster by connecting Copilot to MCP servers like the one from KendoUI?

Ryan Spencer

Ryan Spencer

Developer

Backend

Production Ready AI Agents: Making LangChain Durable Using Temporal

Building AI Agents: Why Temporal + LangChain?

To build reliable AI agents that can handle complex, multi-step tasks in production environments, we need more than just an LLM and a prompt. We need infrastructure that can handle failures gracefully, provide visibility into what our agents are doing, and scale to meet real-world demands.

Mark Repka

Mark Repka

Backend

Building Durable MCP Tools with Temporal: A Complete Guide

To make the most of Large Language Models (LLMs) like ChatGPT and Gemini, we need to ensure that they have access to the most up-to-date information and can interact with external systems, transforming them from simple text-generation engines into powerful and flexible AI Agents.

Mark Repka

Mark Repka

Comparing AI Documentation Engines: DeepWiki vs Code2Tutorial

Understanding a large codebase is challenging, especially for new engineers. Traditional documentation often requires deep product and implementation knowledge, making onboarding slow and frustrating. AI-powered tools now offer automated solutions that generate documentation directly from source code, aiming to bridge this gap.

Vitor Forbrig

Vitor Forbrig

How I Rewrote a Client's ESLint Config With a Single AI Command

I recently refactored some code for a Bitovi client, Strategic Wealth Preservation. We used GitHub Copilot Agent mode with Claude Sonnet 4 to adjust the code formatting and linting rules for SWP's codebase.

Kyle Nazario

Kyle Nazario

Reasoning vs. Speaking: Building Channel-Agnostic Agents with n8n

Building AI agents can quickly become complex and confusing. At Bitovi, we're always looking for ways to streamline efforts for all of your production use cases, not just that first POC. That's why we've developed techniques to help ensure your agents don't get confused as you scale and give them more to do.

Mick McGrath

Mick McGrath

Design

Google Stitch: A Product Designer's Review

Google’s newest AI tool, Stitch, promises to speed up the product design process. But does it actually accelerate design, or does it create “design debt” that organizations must reckon with later in their product lifecycle?

Levi Myers

Levi Myers

React

Introducing AI Component Paste: An Open Source AI Form Filler

With AI booming, we’re always on the lookout for ways it can deliver maximum value. That’s why we were excited to come across .NET’s Smart Components, which introduced a compelling approach to AI-assisted UI in Blazor. But there was one catch: Blazor lock-in.

David Nicholas

David Nicholas

React

AI Smart Paste with React: Adding Genuine AI Value

Most AI integrations stop at chat. Chat with a bot. Chat with a PDF. Chat with a bot that chats with other bots. It’s everywhere—and mostly unhelpful.

David Nicholas

David Nicholas