the nilenso blog. ensonians write about work and life

How I keep up with AI progress (and why you must too)
Atharva Raykar

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AI-assisted coding for teams that can't get away with vibes
A playbook for building high-quality software with AI.
Atharva Raykar

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Experimenting with Self-Hosted LLMs for Text-to-SQL
Yogi pits local and frontier LLMs against each other to see how they fare on Text-to-SQL tasks.
Yogiraj Hendre
Exploring RAG based approaches for Text-to-SQL
Tarun iteratively improves upon a Retrieval-Augmented Generation (RAG) pipeline to generate SQL queries from natural language.
Tarun Kumar
MCP explained without hype or fluff
tldr; like most protocols, MCP solves the M⨯N integration problem by turning it into an M+N integration problem.
Atharva Raykar

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A database optimisation story ft. Sir Sonnet
Beyond code generation: how I optimised a database query with LLM assistance.
Atharva Raykar

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Tiny Models, Local Throttles: Exploring My Local AI Dev Setup
Kiran explores how small, open-source language models can fit into a local development setup to improve how he works day-to-day.
Kiran Gangadharan
Text-to-SQL with GenAI: A Practical Exploration
Is it possible to take text-to-SQL beyond a proof of concept, and create a robust product which is valuable to organizations?
Sezal Jain
My GenAI workflow for building a voice assistant
Learn any new programming framework with the help of GenAI
Sezal Jain
I built an AI prototype that can participate in our internal meetings
A quick hack turns into a reflection on the state of realtime multimodal AI
Atharva Raykar

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A ‘systems thinking’ approach to saving lives from heart attacks and strokes
Atharva Raykar

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