Ashok Dudhade — Full stack software engineer

Notes on AI, systems, and shipping software that holds up in production.

Long-form writing on engineering, agentic tools, and the lessons that only show up after deploy.

Agentic Engineering: Spec-to-Code is a Velocity Trap

There’s a growing belief that AI has collapsed software development into a single step: write a spec and get working code. In demos, this looks like a...

05.03.2026 4 min Read article

articles 13 topics 12 updated May 2026 llms.txt rss github

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02 Genai 03.02.2026

Moats of Sand: Why Engineering Scale Is No Longer a Durable SaaS Advantage

For most of the past decade, the software industry operated under a stable economic assumption: building serious software was expensive. Not conceptually...

03 Cache 02.23.2026

Stop Over-Engineering Your Cache: A Case for Single-Binary Ephemeral Stores

I’ve observed a specific architectural bottleneck remain stubbornly consistent across language runtimes: the inefficiency of the multi-process concurrency...

04 Llm 01.02.2026

The Realities of Production AI: Hard-Earned Lessons from 2025

By the end of 2025, it became clear that AI had entered a new phase. The question was no longer whether we could build advanced systems, but whether we...

05 Agentic Ai 10.05.2025

The Permission Paradox: Balancing AI Capability and Safety in MCP Protocols

As AI agents evolve from simple chatbots into full-fledged workflow orchestrators, Model Context Protocol (MCP) is quickly becoming a cornerstone of this...

06 Gpt 5 08.10.2025

From Specialist to Generalist: Leading in the GPT-5 Era

A year ago, deploying AI meant managing a toolkit of specialized models. You matched each task, translation, image recognition, and summarization to a...

07 Rust 08.02.2025

Building a Production-Ready HTTP Server in Rust

Rust is known for its speed, safety, and expressive type system but what about using it for scalable web backends?Meet rust-http-example-server: a...

08 Writing Prompts 07.19.2025

The Perfect Prompt Doesn’t Exist and That’s Okay

There is something that might surprise you: there is no such thing as a perfect prompt when working with large language models. And that’s not a flaw, it’s...