Reading Log #8

Here is what I read from 6^th to 18^th October 2026.

Side note: I have been travelling for festive holidays here in India and doing a Harry Potter movie marathon (currently on part 7) during this period of time.

Blogs

• How I manage my agents

  I want to look into as many people’s workflows as possible to learn whatever I can on how to best work with AI to build software.

• You should all be asking way more questions

  Ask, ask, ask!

• Ephemeral testing

• Developers Should Read the Classics Too

  Excellent, loved it! I already have a stack of classics waiting for me, and Animal Farm is my top choice too.

• Don’t give in to nostalgia

• I am often wrong

• Why do we listen to people with no skin in the game?

• You should never be angry at work

• Doing everyone else’s job

• How to keep learning in the age of LLMs

• True Things About X

• ⭐ How to be more ambitious: A tutorial for humans with models

  Learnt a new term: “self-efficacy”. I liked the way the blog post prompts you to think in how you can get better for the new AI age.

• Mostly automatic Go dependency updates with GitHub Actions

• Benchmark In Milliseconds

• ⭐ How to Build Wealth as a Career Person

  Fantastic read! One of my regrets, which I have noticed with myself and some friends, is that we focused pretty much our early years on just one type of capital (skill, reputation, relationships, knowledge, finance) and stagnated our growth to it. But don’t be me — diversify!

• Software engineers don’t get to be Luddites about AI

Books

• ⭐ ✅ Show Your Work!

  (read 114 pages)

  Looking forward to sharing more of my work!

• Six Thinking Hats

  (read 16 pages)

• How to Fail at Almost Everything and Still Win Big

  (read 5 pages)

  I read the book once a long, long time ago. Found it in a bunch of books that I kept back in my native place.

• Tao Te Ching

  (read a few random pages)