This post outlines the use of Google’s diff-match-patch library to generate patches that can be translated to operations against an AutoMerge.Text CRDT for situations when deriving the operations directly from user interactions is cumbersome.
Continue reading Integrating Google diff-match-patch with AutoMerge.Text
GraphQL multi-part request spec outlines a specification for multipart form requests in GraphQL. Jayden Seric, the author of the spec, has also authored two libraries apollo-upload-client and apollo-upload-server which makes it effortless to integrate file uploads in Apollo Server.
GridFS is a simple file system abstraction on top of MongoDB. This facilitates storage of large files (beyond BSON document size limit) in mongo database.
This post outlines the minimal integration required to save the files uploaded through the GraphQL API to GridFS.
Continue reading Uploading files to MongoDB GridFS via Apollo powered GraphQL API
It is fairly straightforward to add a GraphQL API powered by Apollo Server to a Next.js application through a koa middleware.
The abbreviated snippet below summarizes the setup along with the libraries involved:
Continue reading Integrating Next.js, Apollo Server and Koa
React refs are generally considered an anti-pattern as their usage typically encourages patterns which go against declarative compositon and top down flow of data.
This post explores a somewhat uncommon use case where refs can be used to expose layout slots in parent components to nested components.
Continue reading Exposing slots in layout containers through shared refs in React
While this post primarily compares Reason and TypeScript, much of what is outlined about TypeScript equally applies to flow as well.
Continue reading ReasonML vs TypeScript – First impressions
Typescript team has explicitly stated that they don’t intend to extend typescript’s static type checking to the runtime.
Typescript Design Goals lists the following in the section on Non-goals:
Add or rely on run-time type information in programs, or emit different code based on the results of the type system. Instead, encourage programming patterns that do not require run-time metadata.
However, this also implies that for cases when static typing cannot help us we need to separately write validators using a validation library (eg. Joi) which has to be kept in sync with the typescript types.
This post outlines an approach to eliminate this redundancy using the io-ts library by Giulio Canti. This approach has also been adopted by some other libraries like MobX State Tree and Runtypes.
Continue reading Typescript and validations at runtime boundaries
This post outlines a container based development workflow using Vagrant and Docker.
Many common docker tutorials (eg. the official node tutorial) suggest a workflow where projects source is copied onto the image, which is then built and run through docker. This approach is not really practical for clojure development as normal clojure programming leans heavily on rapid prototyping and REPL driven development.
The setup below utilizes Vagrant and docker volumes to setup a development environment which ensures reproducibility and container isolation while retaining the short feedback cycle which clojure developers take pride in.
Continue reading A Vagrant+Docker based workflow for clojure web development
The lack of support for asynchronous operations in redux core has spawned a whole ecosystems for managing side-effects in Redux.
This post argues that the redux-loop library (1.5 k ★ as of this writing) is a much better solution for this job than other more popular alternatives like redux-sagas (11.8 k ★) and redux-thunk (7.8 k ★).
As has always been prevalent in frontend ecosystem, popularity does not necessarily translate to better suitability.
Continue reading Redux-loop: A better solution for managing asynchronous operations in redux
A hack which makes the HAML parser BEM aware and helps reduce some of the repetitive boilerplate associated with specifying BEM compliant class names in templates.
Checkout how using a distributed time series database like InfluxDB can help keep track of application events from all multiple Rails processes in a centralized hub.