Manychat Tech Blog

Practical observability checklist for APIs, workers & jobs. Part 2

Logs, traces, and alerts that actually help when things go wrong.

From idea to MVP in a hackathon with AI: 6 principles that get you there

How to run a hackathon that results in a working MVP, and how AI fits into the process.

How we hire for infrastructure at Manychat: from first call to offer in 2 weeks

Most hiring drags on because teams have only a vague idea of who they’re actually looking for. We decided to fix that first.

Practical observability checklist for APIs, workers & jobs. Part 1

The minimum set of signals that helps you understand what’s happening in production before users tell you something is wrong.

95% of my code is written by AI

An Android developer’s workflow for shipping more code without letting quality slip.

Frontend Performance Patterns to Speed Up Your Web App

How intentional loading decisions keep your app fast at scale.

How to Build an Agentic Design System People (and Agents) Will Actually Use (Part 1)

On building Manychat’s design system in ten working days, and why those days were even possible.

Building an AI-Native PM OS: Part 1

This is what my daily workflow looks like with my own AI product team.

Why an engineer should try running a community

Running an engineering community comes with extra work. It also comes with unexpected benefits.

PHP Fibers: Simplifying Async Code and Speeding Up Development

AI onboarding buddy: stop reading the docs, talk to them

A step-by-step guide to setting up an AI assistant that knows your company on day one. In 20 minutes.

How we solved navigation in a modular SwiftUI app with TCA

We looked for a navigation pattern that fit modular TCA apps. We didn’t find one, so we built our own.

No sprints for a quarter: an experiment in a Scrum-culture company

How we shipped a core product rebuild in one quarter without a single sprint.

Migrating the Manychat iOS App from Xcode Frameworks and CocoaPods to Swift Package Manager

Using an AI Agent as a Research Buddy for Technical Decision-Making

Two working deployments in two days instead of two weeks of reading docs: how AI agent helped us pick an orchestrator