ClineFlow: Workflow

Spec + Goals for an Automatic Dev Loop.

Ground the work, make success observable, then preserve the verified handoff for the next chat, agent, or collaborator.

ClineFlow: WorkFlow

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ClineFlow Technical Deck

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Watch Per Episode

ClineFlow Video Series

Eight short videos that explain the ClineFlow workflow.

Part I

Ground the Work

From a blank chat to a verified development loop.

Part 01 · Intro

Why context disappears

See why every new chat starts incomplete—and how ClineFlow keeps the real project story available.

Part 02 · Spec Grounding

Turn intent into a contract

Use goals, constraints, assumptions, and decisions to ground the work before an agent changes code.

Part 03 · Tests & Verification

Make success observable

Define the checks that prove a change works, so the agent can verify instead of merely declaring completion.

Part 04 · Development Loop

Run the automatic loop

Follow the durable rhythm: ground, plan, execute, verify, journal, and carry the next step forward.

ClineFlow: Infinite AI Memory across Chats, Agents and Teams.

Part II

Carry the Work Forward

Move from a verified local slice to durable collaboration.

Part 05 · Ship to GitHub

Preserve the verified slice

Commit and ship the work with a clear, durable handoff instead of leaving important context in a chat window.

Part 06 · Collaborate

Share context, not transcripts

Give a new agent or collaborator the durable project record they need to continue without a long re-brief.

Part 07 · Recap

Review the operating model

Revisit the habits that make project knowledge portable, inspectable, and useful beyond a single model or session.

Part 08 · Closing

Keep the memory compounding

Close the loop with a journaled, verified commit so the next task begins from what the project already knows.

New Book · 2026

Infinite AI Context

ClineFlow and Google’s Open Knowledge Format

Build durable AI memory for developers, lawyers, and creatives.

A practical guide to persistent AI context, ClineFlow, and Google’s Open Knowledge Format—designed for people building durable memory across development, legal, and creative work.

Get Printed Edition Get the free eBook (web PDF)

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About the Author

Hassan Uriostegui

Hassan Uriostegui is an AI-native principal engineer, founder, and author building agentic systems, consumer products, and mobile platforms. He created ClineFlow to give AI agents durable, auditable project memory across chats, tools, and collaborators.

His work spans context engineering, iOS, real-time systems, and generative workflows—from 0-to-1 products to platforms used by millions.

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