Albert Najjar
Building writing, software, and publishing tools that stay small enough to inspect, focusing on codebase grounding and automated experimentation.
At a Glance
- Software developers
- AI coding agent users
- Technical writers
- Open-source contributors
AI Tools by Albert Najjar
(1)CodeStory
Local Codebase Knowledge Graph
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Latest News
Released CodeStory version 0.13.0 with restructured documentation
Published essay: 'AI Is a Magic Wand. Most People Are Afraid of Holding It.'
Launch of Codex Autoresearch for measured improvement loops
Joined Botpress as Senior Software Developer
Products & Services
A codebase grounding engine that preindexes code into a knowledge graph and enriches it with semantic context for use with AI coding agents.
A Codex plugin designed for running automated research experiments and benchmarks directly inside a codebase.
Market Position
Albert Najjar positions CodeStory and Codex Autoresearch as independent, local-first tools that provide high-precision context for AI agents, offering an inspectable alternative to integrated indexing solutions in major IDEs.
Leadership
Founders
Albert Najjar
Lebanese-Canadian writer and software builder with roughly six years of experience. Previously a Software Development Engineer II at Amazon (2020-2025) and a Senior Software Developer at Botpress. Holds a B.Eng from Concordia University.
Executive Team
Albert Najjar
Founder and Lead Builder
Software engineer and writer based in Montreal, specializing in backend systems, GraphQL, and developer tools.
Founding Story
Root and Runtime originated as a personal writing platform for Albert Najjar in 2015. Over time, it evolved into a creative studio where he builds open-source software tools like CodeStory and Codex Autoresearch, bridging the gap between engineering and narrative creative work.
Business Model
Revenue Model
Open-source tools distributed under the Apache License 2.0. No primary revenue figures reported as the projects are personal studio initiatives.
Target Markets
- Software developers
- AI coding agent users
- Technical writers
- Open-source contributors
- AI-assisted software development
- Codebase exploration and impact analysis
- Performance optimization through automated experiments
- Technical documentation and independent publishing