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Ideas from the
Rakita team

Notes on putting AI to work, building products, and the craft behind the platform.

AI at Work Featured

From ticket to pull request

How Kurt picks up a task, writes the code in your repo, runs the tests, and opens a review-ready PR — while your engineers stay on the hard problems.

CR
Cengiz Reis
The Storyteller · 5 min read
Innovation

Why we built one platform instead of ten tools

One identity, one knowledge base, one billing core — and six products that get better together because of it.

MB
Metin Bozkurt
The Explorer
5 min read
AI at Work

Grounding AI in your own knowledge

Retrieval with sources, not guesswork: how every answer stays anchored to your documents — and holds for a human when it is unsure.

AH
Aydan Ece Hatipoğlu
The Compass
4 min read
Development

The architecture behind multi-tenant AI

Opaque references over shared tables: how every organization stays isolated while products plug into one platform.

EA
Erdem Albayrak
The Architect
7 min read
Development

How coding agents open review-ready PRs

Build, test, lint, and a clean diff your team can actually review — the engineering behind an autonomous software factory.

OG
Onur Genç
The Builder
6 min read
Innovation

Designing for the human in the loop

When AI should act, when it should ask, and when it should hand off — the product decisions that keep automation trustworthy.

AH
Aydan Ece Hatipoğlu
The Compass
5 min read
Teamwork

What 21 years of shipping taught us about AI

Lessons from two decades of running real commerce — and why proven infrastructure beats a clever demo.

FC
Fatih Çakar
The Keel
4 min read
Teamwork

Building a team that builds with AI

How we structure work, reviews and ownership when half the first draft comes from an agent.

CR
Cengiz Reis
The Storyteller
5 min read
AI at Work

Moderation that scales without losing your voice

Routine handled, brand intact: how Social and Marketplace draft on-brand replies and surface only what needs a person.

MB
Metin Bozkurt
The Explorer
5 min read

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