IJFW FAQs

Question 1

How does IJFW help reduce token costs for AI development?

Accepted Answer

IJFW optimizes token expenditure through intelligent routing that sends tasks to the most appropriate AI model, output rules that strip unnecessary verbosity, and rigorous prompt-cache discipline that compounds knowledge and prevents redundant requests across sessions.

Question 2

What is IJFW and what problem does it solve?

Accepted Answer

IJFW (It Just F*cking Works!) unifies and enhances multiple AI coding agents like Claude, Codex, and Gemini. It solves common AI agent issues such as forgetfulness, lack of discipline, isolation, and unnecessary token expenditure by providing shared memory, smart routing, and disciplined workflows.

Question 3

Which AI coding agents are compatible with IJFW?

Accepted Answer

IJFW integrates with and unifies capabilities across a wide range of popular AI coding agents, including Claude Code, Codex, Gemini, Cursor, Windsurf, and GitHub Copilot, enabling them to function as a single, cohesive intelligence.

Question 4

Does IJFW require additional subscriptions or cloud services?

Accepted Answer

No, IJFW does not incur any additional costs or require new subscriptions. It runs entirely on your local machine, utilizes your existing AI accounts, and keeps all your data private and local. It's designed for a quick, three-second install.

Question 5

What are the core features that make IJFW so effective?

Accepted Answer

IJFW's core features include shared, persistent local memory; a disciplined workflow engine (Quick/Deep modes); multi-AI cross-audits for robust code review; advanced token economy optimization; and a real-time observability dashboard to monitor AI sessions, costs, and cache efficiency.

IJFW

IJFW

主要功能

使用案例

主要功能

使用案例