Tech in General
Hari KrishnaTech in General is a Substack about GenAI, SQL, latest AI developments, Data Engineering, System Design, DSA and other software engineering concepts!
| Platform |  | Pricing | Only free issues | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 63 | Founded | 10 months ago | Last Issue | 2 months ago |
| Active | |||||
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Fast and Slow thinking of LLM - how LLM learn to reason
Imagine that we have just finished training a large language model.
It has read books, websites, code, conversations, research papers, and millions of worked examples. It can write fluent paragraphs, complete Python functions, answer factu...
How to Set Up OpenRouter With Continue in VS Code and save 20$ per month bill on LLM Models
OpenRouter gives developers one API key for accessing many AI models. Continue brings those models into VS Code as a coding assistant for chat, edits, code generation, and autocomplete. Together, they make it possible to experiment with dif...
Caching Explained: The Complete Guide Every Software Engineer Should Read (Python, Databases, APIs & AI)
Table of Contents
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Why Caching Matters: The Numbers Don’t Lie
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What Gets Deleted When the Cache Is Full?
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Storing Things in Memory: Your Python Toolbox
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Speeding Up Your Database
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HTTP Caching: Let the Web Do the Wor...
RAG vs Fine-Tuning: What the Research Actually Reveals in 2026
Most teams ask the wrong question.
They ask:
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Should we use RAG or fine-tuning?
The better question is:
What should live outside the mo...
LangGraph 101: From Chains to Agent Workflows
Most LLM apps start as a straight line.
User asks a question. You build a prompt. The model responds. Maybe you parse the output. Done.
That is fine until the app needs to make decisions.
Should it search? Should it call a calculator? Sh...
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Authors
The writers behind this newsletter.
Sr R&D Engineer, A Decade of Experience in AI. Goal: Cover 1000 Software Engineering concepts in a year. April 14/26 is the start day of this challenge! Creating signal instead of noise!
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