Reviewing as Hana Petrova (external)

External reviewer · hana.petrova@example.com

External contactBlind review

DevFlow Conf 2027 — Round 1

AI EngineeringInfrastructure & ScaleProduct & Practice

5 / 18 done

Last active 3 Aug 2026 at 22:30

Everything18 To review13 Done5

From Notebook to Nine-Nines: Productionising ML
To reviewInfrastructure & ScaleProduct & Practice
Evals as a Product Surface: Making Quality Legible
To reviewAI Engineering
Teaching Your Codebase to Answer Questions
To reviewAI EngineeringAgents & Tooling
The Economics of Context Windows
To reviewInfrastructure & ScaleAI Engineering
Fine-Tuning Is a Data Problem, Not a Model Problem
To reviewAI Engineering
Human-in-the-Loop Without Being Human-Hostile
To reviewProduct & Practice
Structured Output Is a Distributed Systems Problem
To reviewAI EngineeringAgents & Tooling
Shipping Agents That Don't Melt Down at 3 A.M.
To reviewAgents & ToolingInfrastructure & Scale
Cutting Inference Costs 70% Without Touching the Model
To reviewInfrastructure & Scale
A Practical Taxonomy of LLM Failure Modes
To reviewAI Engineering
Guardrails at the Edge: Safety Without the Latency Tax
To reviewInfrastructure & Scale
Vector Databases: Choosing One You Won't Regret
To reviewAI EngineeringInfrastructure & Scale
Zero-Downtime Model Rollouts
To reviewInfrastructure & Scale

Vector Databases: Choosing One You Won't Regret

AI EngineeringInfrastructure & ScaleTalkBeginner

An opinionated comparison grounded in operational criteria: backup, resharding, filtering semantics and what happens at 3 a.m. when it stops answering.

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