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the nilenso blog.
ensonians write about work and life
What are popular AI coding benchmarks actually measuring?
Popular benchmarks are narrower than you'd want.
Atharva Raykar
Read more by Atharva
here
The common sense unit of work
Consider refactoring the unit of work that your team operates on.
Srihari Sriraman
The quality of AI-assisted software depends on unit of work management
The craft of AI-assisted software creation is substantially about correctly managing units of work.
Atharva Raykar
Read more by Atharva
here
My Quarterly System Health Check-in
An operational exercise for engineering leaders.
Srihari Sriraman
Why Does AI Feel So Different?
More about the recursive paradigm shifting paradigm shift.
Srihari Sriraman
How I keep up with AI progress
A curation of quality sources to keep up with AI progress.
Atharva Raykar
Read more by Atharva
here
AI-assisted coding for teams that can't get away with vibes
A playbook for building high-quality software with AI.
Atharva Raykar
Read more by Atharva
here
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
Read more by Atharva
here
A database optimisation story
Beyond code generation: how I optimised a database query with LLM assistance.
Atharva Raykar
Read more by Atharva
here
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