97 Things Every Programmer Should Know

Act with Prudence take extra care to avoid tech debt if you must accrue it, track cost appropriately Apply Functional Programming Principles learn to apply functional principles to make your code simpler and easier to debug Ask, “What Would the User Do?” (You Are Not the User) the user may not think like you best… Continue reading 97 Things Every Programmer Should Know

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Designing Data-Intensive Applications

Reliable, Scalable, and Maintainable Applications Intro applications today more data-intensive than compute intensive need to store data (dbs), remember expensive operations (cache), allow users to search (indexes), send a message to another process async (stream processing), periodically crunch a large amount of data (batch) Thinking About Data Systems wide-ranging requirements handled by stitching different tools… Continue reading Designing Data-Intensive Applications

Working Effectively with Legacy Code

Changing Software Four reasons to change software adding a feature fixing a bug improving design optimizing resource usage Adding features and fixing bugs some argue whether something is a bug fix vs feature more important distinction is behavior i.e. adding or changing Improving Design (Refactoring) keep behavior intact programmers avoid because easy to lose behavior… Continue reading Working Effectively with Legacy Code

Building Microservices

Microservices Intro Emerged in context of domain driven design, CI/CD, on-demand virtualization, infrastructure automation, small autonomous teams, systems at scale more flexibility to respond faster is goal What are microservices? small autonomous services that work together service boundaries based on business boundaries shouldn’t be too big (~2 weeks to rewrite) separate entities ideally own own… Continue reading Building Microservices

What We Actually Know About Software Development, and Why We Believe It’s True

Notes from talk have high standards when evaluating new methodologies / look for citations 10-100x developer study based on a small number of developers in the 60’s newer study looked at ~50 and each person for less than 1 hour Lutz Prechelt has done many studies here Study has shown errors correlated to lines of… Continue reading What We Actually Know About Software Development, and Why We Believe It’s True

Design Patterns in Ruby

Building Better Programs with Patterns people develop solutions for common problems in all domains GOF popularized idea of prepackaged solutions and defined 23 patterns Separate things that change from things that don’t change is given ideally changes are local and don’t require updates everywhere Program to an interface not an implementation polymorphism decouples code is… Continue reading Design Patterns in Ruby