iFood Tech Blog

Highlights

BACK-ENDAuto Approval: how iFood accelerated code review by 33% with automated risk assessmentFrom MR queues to automated risk analysis: how context, heuristics, and LLMs revolutionized code review at iFood At iFood, accelerating the engineering process without compromising security and quality is a constant challenge, especially when we consider the scale of our…

Paulo Pacitti

27 abr.

DATA & AISugar, Revisor, and Pepper: the agentic cycle that maintains iFood’s catalog scale and consistency

Osvaldo Berg, Nicoli Araujo, Rafael Silva, Isabelle Martins, Bernardo Bacha, Matheus Ferreira

23 abr.

ENGENHARIAScaling Engineering with confidence: the role of AI, RAG and governance at iFood

Recents

Sugar, Revisor, and Pepper: the agentic cycle that maintains iFood’s catalog scale and consistency

ENGINEERING

Visual regression with AI: the combination of automated testing, AI, and Figma that accelerated validations

PRODUCT & DESIGN

The iFood Way of Building Products: how we structure problems before scaling solutions

DADOS & IA

How iFood’s generative AI connects personalization and communication through rigorous engineering patterns to scale unique user experiences

FRONT-END

IFDS: Inside the Engineering Patterns and Component Architecture of iFood Design System

ENGENHARIA

Scaling Engineering with confidence: the role of AI, RAG and governance at iFood

PRODUCT & DESIGN

iFood Camp: how AI, behavior and Brazilianness are reshaping the way we build products

BACK-END

Cost Optimization at Scale: The Impact of Kafka Topic Compression at iFood

CULTURE AND CAREERS

Tech Meal Onboarding and Elas São Tech: The Evolution of the Experience for Those Who Came to Work in Engineering at iFood

DADOS & IA

Yggdrasil: Scaling Authorization at iFood with Cedar and a Stateless Architecture

CULTURE AND CAREERS

Ailo: from experiment to product with purpose

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Sugar, Revisor, and Pepper: the agentic cycle that maintains iFood’s catalog scale and consistency

Visual regression with AI: the combination of automated testing, AI, and Figma that accelerated validations

The iFood Way of Building Products: how we structure problems before scaling solutions

How iFood’s generative AI connects personalization and communication through rigorous engineering patterns to scale unique user experiences

IFDS: Inside the Engineering Patterns and Component Architecture of iFood Design System

Scaling Engineering with confidence: the role of AI, RAG and governance at iFood

iFood Camp: how AI, behavior and Brazilianness are reshaping the way we build products

Cost Optimization at Scale: The Impact of Kafka Topic Compression at iFood

Tech Meal Onboarding and Elas São Tech: The Evolution of the Experience for Those Who Came to Work in Engineering at iFood

Yggdrasil: Scaling Authorization at iFood with Cedar and a Stateless Architecture

How I went from ‘Where’s the README?’ to 2nd place in Hackathon in 9 months

How iFood Enhanced Feature Management to Combat Fraud

iFood AI: behind the scenes of building the product

How did iFood manage to identify duplicate tables in the Data Lake?

From ideas to impact: the iFood Way of doing Product & Design

Rethinking Measurement: How our Proprietary MMM enhanced our Media perspective

From papyrus to queries: Alexandria at the center of iFood’s business rules

Ailo: from experiment to product with purpose

Build the future at iFood