Abhi Pandey
Senior Software Engineer
Abhi Pandey is a Senior Software Engineer at Brynex Labs, where he builds production-grade AI agents, RAG pipelines, and full-stack SaaS platforms with LangChain, LangGraph, Python, and Next.js. He writes about applied AI engineering, software architecture, and shipping reliable systems to production.
Articles by Abhi Pandey
The Great Repatriation: When to Drop the Cloud
When exactly does the infinite scale of the public cloud become a toxic financial liability? Analyzing the absolute breaking point for repatriating your servers.
AI Agents in Business: A Practical Guide for 2026
Moving past the traditional conversational chatbot phase: How to securely deploy autonomous AI agents that definitively execute complex B2B workflows.
How to Choose the Right Tech Stack for Your SaaS Product in 2026
Avoid crippling technical debt by making precise architectural choices on day one. A comprehensive, real-world breakdown of tech stacks for modern SaaS ecosystems.
How Much Does It Cost to Build and Run AI Agents in 2026?
Real numbers on AI agent development cost: three pricing tiers, monthly run costs, the levers that cut spend 5-10x, and a worked ROI example with the math shown.
AI Agents vs RPA vs Zapier: Which Automation Actually Fits Your Workflow?
Zapier, RPA, and AI agents solve different problems — and picking the wrong tier wastes months and budget. A practical decision framework for choosing the right one.
Automating Customer Support With AI Agents — Without Wrecking CSAT
A practical playbook for support leaders who got burned by bad chatbots: tiered automation, escalation design, the metrics that matter, and a 30/60/90-day rollout plan.
Is Your Business Ready for AI Agents? A 12-Point Readiness Checklist
Most failed agent projects were doomed before a line of code was written. Score your business against 12 concrete checks — data, systems, people, and economics — and find out exactly what to fix before you build.
Back-Office Automation With AI Agents: The Workflows Worth Automating First
Your back office is the highest-ROI place to deploy AI agents — but only if you pick the right workflows. A prioritization framework with real math, not hype.
RAG in Plain Business Terms: Make Your Company Knowledge Actually Searchable
Your answers exist — in Notion, Drive, old tickets, and three people's heads. Here's what RAG actually is, what makes it work or fail, and an honest build-vs-buy breakdown.
Deploying AI Agents Safely: Guardrails, Evals, and Human-in-the-Loop That Actually Work
The real blocker to agent adoption is not capability — it is risk. Here is the engineering stack that answers "what if it hallucinates" with controls, not reassurance.
Multi-Agent Systems: When One AI Agent Isn't Enough (and When It's Overkill)
Multi-agent architectures are the loudest trend in AI right now — and the most over-prescribed. Here is a sober decision guide for when to split one agent into many, and when doing so will quietly wreck your reliability and budget.
AI-Native Software Development: How Lean Teams Ship Production Software 2x Faster
Every agency now claims to be "AI-powered." Here is what AI-native software development actually means in practice — where it halves timelines, where it changes nothing, and how to tell a real AI-native team from a vibe-coding shop.
From MVP to Production-Grade SaaS: An Engineering Roadmap for Founders
Your MVP got traction and now it is creaking. Here is the stage-by-stage engineering roadmap: what to skip, what to never skip, the hardening checklist for real customers, and when re-architecting is actually justified.