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ashishb.net

A day in Luxembourg - the richest country in the world I was asked to install malware during a fake interview Book summary: Breakneck - China's quest to engineer the future by Dan Wang Book summary: How to Teach Your Baby to Read Book Summary: The Discontented Little Baby Book by Pamela Douglas Introducing Amazing Sandbox - run third-party tools and AI agents securely on your machine Why software outsourcing gets a bad reputation? Book summary: The Natural Baby Sleep Solution by Polly Moore A day in Antwerp, Belgium Journey of online influencers Two days in Brussels, Belgium Shortcuts - when we love them and when we don't A visit to Rakhigarhi Three days in overhyped Paris Empty Japan, crowded Tokyo The real lock-in in GitHub is not the code, but the stars 11-day Norwegian Breakaway East Caribbean cruise Sanskrit and Sri Lankan Air Force Use REST with Open API The Achilles heel of American capitalism Costa Rica in 4 days At a juice stall in Sri Lanka A short stay at Warsaw, Poland Best practices for using Python & uv inside Docker Two days in Vilnius, Lithuania How IntelliJ IDEs waste disk space Pregnancy Why there aren't many digital nomads from India Two days in Riga, Latvia To keep your machine secure, run third-party tools inside Docker Family Ties in Your DNA: Some relatives are closer than others Doctors per capita Two days in Tallinn, Estonia Ship tools as standalone static binaries Made in America Two days in Helsinki, Finland Maintaining an Android app is a lot of work The land of good deals Two days in Oslo, Norway FastAPI vs Flask performance comparison Google Search is losing to Perplexity Two days in Dublin, Ireland Continuous integration ≠ Continuous delivery World's simplest project success heuristic London in 5 days It is hard to recommend Python in production Inflation, IRS, Credit cards, and Vendors Temu and the Chinese approach Things to do in Miami Florida Revenue vs Cost Axis Language learning as an adult The unanchored babies of the green card limbo Price variance in the United States A day in Louisville, Kentucky A surprisingly positive experience with Air India Unhospitable Airports Android: Don't use stale views USA = Union of Sales and Advertisement A day in Nashville, Tennessee Minimize Javascript in your codebase A day in Birmingham, Alabama In defense of ad-supported products Real vs artificial world The science behind Punjabi singers Hiking Mt. Fuji The Indian startup bubble is insane Repairing database on the fly for millions of users Book Summary: One up on Wall Street by Peter Lynch It is hard to recommend Google Cloud At the Prague airport Kyoto in three days Migrating from WordPress to Hugo Book summary: Sick Societies by Robert B. Edgerton Statistical outcomes require statistical games Illegal immigrants to Europe via Cairo Tokyo in three days Mobs are Status Games Writing Script matters as much as the spoken language Sri Lanka in 5 days LLMs: great for business but bad business Book Summary: Safe Haven by Mark Spitznagel Mac shortcut for typing Avagraha symbol On a bus with an asylum seeker Nicaragua in 5 days When to commit Generated code to version control Why I always buy a local SIM in a foreign country Use Makefile for Android Four days in Guadalajara, Mexico Android Navigation: Up vs Back Hotels vs Airbnb vs Hostels Currency issues in Argentina Abstractions should be deep not wide Some data on podcasting Always support compressed response in an API service A day in El Calafate - Patagonia, Argentina Hermetic docker images with Hugging Face machine learning models American Elections The sound of "ch" API services should always have usage Limits Hiking in El Chaltén - trekking capital of Argentina
The two-step approach to big code modifications
Ashish Bhatia · 2020-08-02 · via ashishb.net

We all have to make significant code changes from time to time. Most of these code changes are large. Consider the scenario that you merged one such significant change, and then other team members made a few more changes on top. Then a major bug is detected. You desperately make the fix. It makes it in. You declare a victory, and a few hours later, your colleague notices another bug/crash/performance regression. Your commit cannot be reverted. It isn’t just about you. Many others have built on top of the change you made—the code sloths along in this broken state for a few days before you eventually fix it. Everyone has faced this issue at some point or the other.

If the code change is small, this is a non-issue, you can revert it and fix it at your own pace. Therefore, when making significant code changes, always try to do it in two different commits (pull requests). In the commit, you add the new code, add a switch (command-line flag or a constant) to turn it on, and keep that switch off by default. In the second commit, turn the switch on. Now, if there is a problem, you immediately turn the switch off and start working on a fix. No one else will deal with the broken code. It would be even better if the switch is a command-line flag since you can turn on the flag for 10% of the machines (or users) and see the behavior for a few days before rolling it out to 100%. It big teams, it is usually good to add a comment to switch mentioning when it should expire or else you will end with Uber scale problem.

There are a few cases where this cannot be done, for example, during big code refactoring. I think big code refactoring touching code written by multiple teams is almost rarely justified in a single commit.

Examples of some cases where this is useful

  1. Switching over from consuming data via v1 of some API to v2
  2. Switching over from returning computed results to stored results (for faster response time but possibly inaccurate outcome)
  3. Switching over from JSON to Protocol Buffer/Thrift
  4. Switching over from VMs to Kubernetes (don’t delete the old code yet, you might regret it)