Personal Development
Archived at July 18th, 2020 and not updated thereafter.
Personal development
As a developer, it is important to always continue to learn and to make sure you keep up with the technological advancements. For this reason I spend at least one day a week on self-education.
What I am currently working on:
- Improvements within the infrastructure of Bytecode, applying Site Reliability Engineering (SRE) principles.
 - Building a central API system (REST and gRPC) for Bytecode, consisting of several microservices.
 - Creating code generation tools for project scaffolding (e.g. React and Redux) with the objective of more uniform code bases within Bytecode and less manual boilerplate code.
 - Building a tool within Bytecode to define and test import boundaries with a domain specific language.
 - Conduct research to create fixed “stacks” for development at Bytecode, and better definition of guidelines.
 - Self-education towards the foundations of Computer Science and Computational Science and Engineering.
 - Reading The Art of Computer Programming, part 1 to 4A (Donald Knuth)
 
What I’ve been working on lately (most notably):
- Delving deeper into Go/Golang development for enterprise applications
 - Specialization towards software architecture/design and SRE
 - Reading books related to productivity, management and soft-skills
 - Reading books related to process/management with software development
 - Reading Start With Why and similar books on startup branding and mission definition
 - Delving deeper into compiler engineering and assembly language(s)
 - Kubernetes in production
 
What I want to learn (most notably):
- Getting more acquainted with the purely functional programming languages Haskell and Elm
 - Systems programming with Rust
 - Embedded programming with C, C++ and/or Rust
 - Become familiar with Erlang, OCaml, C++, Dart, F# and Smalltalk for research purposes
 - Functional front-end web development with Elm, ReasonML and/or ClosureScript
 - WebAssembly, icm. Rust, Go and/or C
 - Artificial Intelligence and Neural Networks with Tensorflow