From “Can I Do This?” to Becoming Part of the Team: Lessons From My Apprenticeship at ISRO
My first real experience working in a professional engineering environment began during my apprenticeship at ISRO On my first day, I was introduced…
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"My Agent Refused 96 Times": Building Self-Editing Agents with Hard Failure Modes
Originally published on tamiz.pro . In the early days of shipping LLM-based agents, we optimized for output volume. If the model could not find the…
Beyond Arduino: Getting Started with ESP-IDF in VS Code for ESP32
Note: This tutorial was originally published on effessdev.github.io . Check out the original article for the most up-to-date version: https://effess…
My spidey sense on AI
This is me being honest with myself for a minute. The New York Times published a newsletter where the headline was OpenAI and 100 Others Warn that W…
🚀 Spring Boot Learning Series — Episode 3 | Spring Boot
Episode 3 | Spring Boot | Auto-Configuration, Starters & How the Application Starts Episode 1 covered why Spring exists — avoiding tight couplin…
What I’ve Learned About Software Development:
During my studies in Systems Development, I’ve been learning that building software is about much more than writing code. Through academic projects,…
Front-end Integrative Project – Animalia
Animalia This is an initial academic project that I am developing with the purpose of helping and providing greater knowledge about the local fauna…
From Prototype to Production: Hard-Won Lessons Building Multi-Agent Systems That Actually Ship
Originally published on tamiz.pro . The Gap Between Demo and Day One Every team that builds a multi-agent system starts the same way: three agents c…
Understanding the Git Workflow: Working Directory, Staging, Commit and Push
Git or GitHub was just another buzzword that for so long I used to associate it with the so called "tech bros and siz". As a result, I never got qui…
A TEMP Distribution Setup for My Ripper App
I’ve been working on a desktop utility called Ripper, a Python + CustomTkinter app that downloads video and audio from supported sites (starting wit…
From Monolithic LLMs to Autonomous Rust Agents: Building the Next-Gen Developer Stack with uv, RAGFlow, and zeroclaw
Originally published on tamiz.pro . The era of throwing everything at a single LLM call is over. Prompt engineering and RAG pipelines hit diminishin…
Database Performance for Developers: Indexing, Query Plans, and the Queries That Don't Scale
How database indexes actually work: B-trees, selectivity, composite indexes, covering indexes, and reading EXPLAIN plans so your queries scale past…
From Goroutines to Agents: Lessons from 1M Concurrent Threads and the New Wave of AI Engineering
Originally published on tamiz.pro . In 2021, a team running a Go-based infrastructure service hit 1 million concurrent goroutines under load. The le…
Beyond the LLM: Why RAG Checklists, Agent Observability, and Lightweight Infrastructure Are the New Developer Stack
Originally published on tamiz.pro . The excitement around Large Language Models (LLMs) has largely focused on the capabilities of the models themsel…
What Happens After the Agent Replies: Archiving Prompt History for Reproducible AI Workflows
Originally published on tamiz.pro . When a Retrieval-Augmented Generation (RAG) agent or any LLM-backed service produces an answer, the real value r…
Windows isn't easier than Linux - Windows Permissions
I always heard people say that Linux is harder than Windows. Sure, but only if we're talking about everyday use. I've finished the Linux fundamental…
Why Your AI Agent Doesn't Have a Reasoning Problem—It Has a Memory Problem: A Practical Guide to Production-Grade Agent State
Originally published on tamiz.pro . You've spent weeks tuning your system prompt. You've tried chain-of-thought, ReAct, and tree-of-thought promptin…
System Design: Payment Processing System
System Design: Payment Processing System A capstone system design walkthrough — designing a payment processing system end to end — covering the core…
From Hype to Hard Reality: What We're Learning About Shipping AI Agents in Production
Originally published on tamiz.pro . For the better part of two years, the narrative has been seductive: build a few function calls around a reasonin…
Why the Future Always Looks Like It Has More Time
Bro, I think the reason we keep telling ourselves, “I'll start coding when I get into college” , is because the future looks ridiculously attractive…
Manim: Turning Mathematics into Animation with Python
What if you could take a mathematical equation and make it move? Not just display it on a screen, but animate it—make graphs appear, equations trans…
How to Explain a Technical Issue in English: Conclusion, Reason, Example
Explaining a technical problem in a second language can become harder when you try to include every detail at once. Logs, reproduction steps, custom…
Learning by building something real
I’m not here because I know everything about software development. Quite the opposite. Right now, I’m learning React, TypeScript, Supabase, PostgreS…
From Hype to Production: The Harsh Reality of Shipping AI Agents Beyond the Demo
Originally published on tamiz.pro . The demo works beautifully. The agent reads the inbox, writes a draft, calls the API, and updates the database —…
From Cherry Studio to Destroylist: Mapping the New Developer Stack for AI Agents, Privacy, and Lightweight Tooling
Originally published on tamiz.pro . The era of treating Large Language Models (LLMs) as simple text-completion endpoints is over. We are currently w…
I've got feedback from previous project and implement it in new one! (FastAPI + PostgreSQL + External API + Docker)
I'm learning backend development and I really enjoy it! I created my first API last month and got an amazing feedback! I work hard these days and cr…
Breaking Into Full-Stack Development Without a CS Degree: What Actually Worked for Me
Breaking Into Full-Stack Development Without a CS Degree: What Actually Worked for Me I didn't go through a computer science program. What I have in…
Beyond the Agent Hype: Architecting Observability, Memory, and Guardrails for Production AI Systems
Originally published on tamiz.pro . The initial wave of the Generative AI boom was defined by the "Hello World" of agents: a simple script chaining…
Not all skills are for AI.
Not all skills are for AI. Tough question, but let me try: here's what I think is the best skill set. Understanding technology - you know its possib…
Why Your AI Agent Fails in Production: Bridging the Memory, Testing, and Tooling Gaps
Originally published on tamiz.pro . You spent weeks building an agentic workflow that works flawlessly on your local machine. It handles edge cases,…