Preveen Chandran

AI Architect

Preveen Chandran — AI & cloud architect writing about software architecture, AWS, and building with Claude. Field notes on designing real systems, plus small free apps.

• AI as a software engineering workforce

  When agents can read a codebase, split up the work, change files, run tests and review each other’s PRs, the scarce skill stops being how fast you write code and becomes how well you design, orchestrate and govern the system doing it.

• Why agents fail at scale — and how we can stop it

  Loops that never end, context that balloons, costs that 1000×, agents with their hands on the controls — the failures that actually bite in production, and the guardrails that tame them.

• Designing agentic systems that don't fall over in production

  A practical framework for putting LLM agents on the critical path: treat the model as an unreliable service, validate every output, make each step observable, bound the blast radius, and cap the loop.

• A cost-aware reference architecture for serverless on AWS

  How I structure Lambda, EventBridge, and DynamoDB so the bill stays predictable as traffic grows.

• Prompt architecture: treating context like a system you design

  Context windows, tool use, and evaluation loops — the patterns I reach for when building on Claude.

• The seams that matter: drawing service boundaries that hold up

  A field guide to decomposing a monolith without trading one kind of pain for a worse one.