Category · AI Engineering

AI Engineering

How CreateLixir builds AI-native software — Project Brain, AI Architect, Context Engine, and the systems behind them.

How Project Brain Thinks

The mechanics chapter — how Project Brain is queried, how it composes context for every AI teammate, and how it stays consistent as the project evolves.

The CreateLixir TeamJuly 8, 20269 min read

Project BrainContext EngineeringArchitectureAI Engineering

AI Engineering

Introducing Project Brain

The core chapter of the series — what Project Brain is, why it is the right shape for the problem, and how it differs from context injection, RAG, and long conversation history.

The CreateLixir TeamJuly 8, 20269 min read

Project BrainMemoryArchitectureAI Engineering

AI Engineering

Project Brain Throughout the Software Lifecycle

How Project Brain participates in every phase of a project — from the first planning conversation with the AI Architect through code, review, deployment, and postmortem.

The CreateLixir TeamJuly 8, 20268 min read

Project BrainSoftware LifecycleAI EngineeringProduct

AI Engineering

Project Brain — A Persistent Memory Layer for AI Software Engineering

A pillar series on why AI systems forget, why software engineering exposes this limitation most severely, and how CreateLixir's Project Brain gives every project a persistent, structured memory.

The CreateLixir TeamJuly 8, 20263 min read

Project BrainMemoryContext EngineeringAI Engineering

AI Engineering

The Cost of Starting Over

Every new AI session begins from zero. This chapter looks at the practical, engineering-wide cost of that reset — for founders, for teams, and for the codebase itself.

The CreateLixir TeamJuly 8, 20266 min read

Project BrainMemoryProductivityAI Engineering

AI Engineering

The Future of AI Memory

The closing chapter — where persistent memory in AI is heading over the next decade, and what a mature memory layer will make possible that today's software cannot.

The CreateLixir TeamJuly 8, 20268 min read

Project BrainMemoryResearchFuture of AI

AI Engineering

What Project Brain Remembers

A tour of the layers of memory Project Brain holds — identity, product, target users, architecture, design system, decisions, constraints, risks, and knowledge — and why each of them matters.

The CreateLixir TeamJuly 8, 20268 min read

Project BrainMemoryArchitectureAI Engineering

AI Engineering

Why AI Forgets

Modern AI does not fail to remember because it is careless. It fails to remember because remembering, in the way humans do it, is not part of how these systems are built.

The CreateLixir TeamJuly 8, 20268 min read

Project BrainMemoryContext EngineeringAI Engineering

AI Engineering

Why Persistent Memory Matters

The synthesis chapter — what changes about AI-assisted engineering once persistent memory is in place, and why it is the missing primitive for autonomous AI teams.

The CreateLixir TeamJuly 8, 20267 min read

Project BrainMemoryAI EngineeringAutonomous AI

AI Engineering

Why Software Projects Need Memory

Software is a body of accumulated knowledge, not just code. This chapter looks at what a project actually is — the architecture, decisions, constraints, and invariants that make it more than the sum of its files.

The CreateLixir TeamJuly 8, 20267 min read

Project BrainMemorySoftware CreationAI Engineering

AI Engineering

The AI Architect — Planning Before Code

How the AI Architect turns a founder's prompt into a structured plan — modules, dependencies, tradeoffs — before a single line of code is written.

The CreateLixir TeamJuly 5, 20267 min read

AI ArchitectPlanningSoftware CreationAI Engineering

AI Engineering

The Prompt Workspace — Conversation as the New IDE

Why we built the Prompt Workspace as the primary surface of CreateLixir — and how it stays a UI, never a request builder.

The CreateLixir TeamJuly 2, 20266 min read

Prompt WorkspaceUXAI EngineeringSoftware Creation