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Cover illustration for How to evaluate AI SRE agents for production?

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How to evaluate AI SRE agents for production?
Portrait of Hemant Kumar, Staff SRE at One2N

Hemant Kumar

Staff SRE @One2N

How we evaluate AI SRE agents before they touch a production incident, applied to an OpenSRE v0.1 PoC and scored on how fast it helps isolate a fault.

Cover illustration for Git was not built for multiple AI agents. Worktrees fix that.

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Git was not built for multiple AI agents. Worktrees fix that.
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

Git worktrees for agentic development: give each AI coding agent its own folder and branch on one repo, so parallel chats stop fighting over one checkout.

Cover illustration for Exploring RAG: enhancing LLMs with external knowledge

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Exploring RAG: enhancing LLMs with external knowledge
Portrait of Harsh Mishra, SRE

Harsh Mishra

SRE

Portrait of Saurabh Hirani, Principal SRE at One2N

Saurabh Hirani

Principal SRE @One2N

Retrieval augmented generation (RAG) for engineers: LLM basics, where standalone models fall short, and the parts of a RAG app such as embeddings.

Cover illustration for How we used Fly.io to improve a Pipecat-AI chatbot

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How we used Fly.io to improve a Pipecat-AI chatbot
Portrait of Ajinkya Wadekar, SRE at One2N

Ajinkya Wadekar

SRE @One2N

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

A Pipecat-AI chatbot on ECS hit limits at 10 to 15 chat rooms per task, and 6GB images slowed scale-up. How Fly.io machines spun from containers fixed it.

Cover illustration for Understanding MLOps from a software engineers' perspective

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Understanding MLOps from a software engineers' perspective
Portrait of Harsh Mishra, SRE

Harsh Mishra

SRE

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

Portrait of Chinmay Naik, CEO at One2N

Chinmay Naik

CEO @One2N

Portrait of Jaideep Khandelwal, CTO at One2N

Jaideep Khandelwal

CTO @One2N

MLOps for software engineers is DevOps plus data engineering and ML. The MLOps lifecycle, knowledge silos, automation, versioning and experiment tracking.

Talks

Thumbnail for the talk Token Economics, Paisa, Prompts & Production | Entain Tech Brews

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Token Economics, Paisa, Prompts & Production | Entain Tech Brews
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

Portrait of Biswa Prakash Mishra, SRE at One2N

Biswa Prakash Mishra

SRE @One2N

Srivatsa RV and Biswa explain token economics and token optimization for LLM applications, from prefill versus decode cost to production tradeoffs.

Thumbnail for the talk AI Enabled SDLC | Entain Tech Brews

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AI Enabled SDLC | Entain Tech Brews
Portrait of Jaideep Khandelwal, CTO at One2N

Jaideep Khandelwal

CTO @One2N

Jaideep Khandelwal shows how to turn vibe coding with AI into a disciplined, AI-enabled SDLC that engineering teams can trust in production.

Thumbnail for the talk Talking to Coding Agents from Neovim

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Talking to Coding Agents from Neovim
Portrait of Saurabh Hirani, Principal SRE at One2N

Saurabh Hirani

Principal SRE @One2N

Saurabh Hirani explains how Neovim talks to CLI coding agents like Claude Code and OpenCode, and why the same patterns work in any editor.

Thumbnail for the talk Solving Synthetic Data generation using LLMs | mitramandal.ai EP2 - 2026

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Solving Synthetic Data generation using LLMs | mitramandal.ai EP2 - 2026
Portrait of Chinmay Naik, CEO at One2N

Chinmay Naik

CEO @One2N

Chinmay Naik explains how One2N solved synthetic data generation with LLMs: the use cases behind it and why simple anonymization falls short.

Thumbnail for the talk The implications of AI in the SRE world | One2N Bits Ep.5

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The implications of AI in the SRE world | One2N Bits Ep.5
Portrait of Jaideep Khandelwal, CTO at One2N

Jaideep Khandelwal

CTO @One2N

Portrait of Saurabh Hirani, Principal SRE at One2N

Saurabh Hirani

Principal SRE @One2N

Saurabh Hirani and Jaideep Khandelwal break down what it takes for AI to be genuinely useful in SRE, beyond incident bots and code completion.

Thumbnail for the talk Using LLMs to Improve Incident Response Times | mitramandal.ai - 2025

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Using LLMs to Improve Incident Response Times | mitramandal.ai - 2025
Portrait of Jaideep Khandelwal, CTO at One2N

Jaideep Khandelwal

CTO @One2N

A talk from mitramandal.ai, One2N's AI meetup, on using LLMs to improve incident response times in real engineering workflows.

Thumbnail for the talk Extreme Programming in the Age of AI | One2N Cursor Meetup Pune

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Extreme Programming in the Age of AI | One2N Cursor Meetup Pune
Portrait of Nilesh D, Software Engineer at One2N

Nilesh D

Software Engineer @One2N

Nilesh D at the first Cursor Meetup in Pune: how Extreme Programming principles level up dev workflows and integrate with AI tools like Cursor.

Thumbnail for the talk AI Enabled SRE Practices | One2N Cursor Meetup Pune

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AI Enabled SRE Practices | One2N Cursor Meetup Pune
Portrait of Saurabh Hirani, Principal SRE at One2N

Saurabh Hirani

Principal SRE @One2N

Saurabh Hirani's lightning talk from the first Cursor Meetup in Pune, hosted at One2N, on what AI-enabled SRE practices look like in daily work.

Thumbnail for the talk A SRE’s Guide to LLMOps: Deploying and Managing AI⧸ML Workloads using Kubernetes

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A SRE’s Guide to LLMOps: Deploying and Managing AI⧸ML Workloads using Kubernetes
Portrait of Harsh Mishra, SRE

Harsh Mishra

SRE

Harsh Mishra covers LLMOps from an SRE perspective: unique challenges, best practices, and how to future-proof cloud strategy for GenAI and LLM workloads.

Thumbnail for the talk ABC of LLMOps - What does it take to run self-hosted LLMs｜Rootconf mini 2024

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ABC of LLMOps - What does it take to run self-hosted LLMs｜Rootconf mini 2024
Portrait of Jaideep Khandelwal, CTO at One2N

Jaideep Khandelwal

CTO @One2N

Lessons from deploying open-source LLMs on Kubernetes GPUs, managing vector databases and building RAG apps, from Rootconf mini 2024.

Thumbnail for the talk From DevOps to MLOps - Scaling ML models to 2 million API requests per day

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From DevOps to MLOps - Scaling ML models to 2 million API requests per day
Portrait of Chinmay Naik, CEO at One2N

Chinmay Naik

CEO @One2N

Learn how to deploy and scale machine learning models to 2 million requests a day with MLOps best practices, from data preparation to scaling.

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