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Live webinarSoftware ArchitectureProduction AIBackend
Software architecture that survives the AI rewrite
The next AI feature is coming. Your architecture decides whether it lands clean or breaks the product.
Param Harrison
Cofounder, AEOsome.com · Chief Mentor, learnwithparam.com
60 minutes · intermediate
About this session
Why this one matters
Every team has been asked the same thing this year: bolt an agent onto the product, rewrite the search with RAG, let the LLM hold state. Most architectures bend and crack under that request. This session walks the software architecture patterns that stay standing when AI lands on top of them: clean service boundaries, async by default, stateless where it matters, state owned where it counts. You leave with a checklist to audit your own codebase before the next AI feature lands.
Who should watch
- Backend engineers and tech leads adding AI features to an existing product
- Architects reviewing the blast radius of an incoming AI rewrite
- Teams burnt once by an AI feature that broke surrounding services
Topics we'll cover
What's on the menu
- Service boundaries that stay clean when an agent calls across the stack
- Async by default, and where sync still wins
- State: what the LLM owns, what the system owns, and where they collide
- Contracts between deterministic code and non-deterministic models
- The audit checklist to run before your next AI feature lands
What you'll walk away with
Leave with a blueprint
- Spot the architecture smells that kill AI features before they ship
- Draw the boundaries between deterministic services and AI-backed components
- Design async pipelines that handle LLM latency without wrecking UX
- Own state placement so you do not end up with stateful model calls
- Leave with a codebase audit checklist for AI readiness