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⚡ AI Lessons

Dev.to · Xu Bian
1mo ago
From One Failure to Project Memory: Make the Pipeline Stronger Over Time
If AI makes the same mistake repeatedly in the same project, the problem is usually not just the model.

Dev.to · Xu Bian
1mo ago
Put Humans at Risk Boundaries, Not Only at the Final Approval
Many AI workflows treat human-in-the-loop as a final approval step.

Dev.to · Xu Bian
🤖 AI Agents & Automation
⚡ AI Lesson
1mo ago
Evidence Contract: AI Delivery Must Come With Proof
The most dangerous sentence in AI delivery is: \"It is done.\"

Dev.to · Xu Bian
💻 AI-Assisted Coding
⚡ AI Lesson
1mo ago
Put AI in an Isolated Workspace: Real Projects Need Stage-Gated Workers
If AI is going to work inside a real project, it should not freely modify your main working directory.

Dev.to · Xu Bian
💻 AI-Assisted Coding
⚡ AI Lesson
1mo ago
Give AI the Context It Should See, Not the Whole Repository
Many AI task failures do not happen because the model cannot modify code. They happen because the model reads the wrong context.

Dev.to · Xu Bian
💻 AI-Assisted Coding
⚡ AI Lesson
1mo ago
From Chat Request to Task Contract: Route the Work Before AI Executes
The most common risk in AI-assisted development is not that the model cannot write code. It is that the model starts writing code too early.

Dev.to · Xu Bian
💻 AI-Assisted Coding
⚡ AI Lesson
1mo ago
AI Is Not the Process: What a Project-Specific AI Delivery Pipeline Means
Many people use AI for coding by placing the whole workflow inside one chat: describe the task, ask the agent to read the repository, edit files, run tests, and

Dev.to · Xu Bian
🖌️ UI/UX Design
⚡ AI Lesson
2mo ago
From Chat Advice to a Durable Design Project
Explains why AI design collaboration needs project workspaces, structured truth, and resumable project state instead of chat history alone.

Dev.to · Xu Bian
🖌️ UI/UX Design
⚡ AI Lesson
2mo ago
Which Design Rule Wins: Defaults, Personal Preferences, Project Rules, or Session Instructions?
Proposes a rule precedence model for product defaults, designer profiles, project rules, and explicit session instructions in AI design workbenches.

Dev.to · Xu Bian
🖌️ UI/UX Design
⚡ AI Lesson
2mo ago
How Visual Feedback Becomes Structured Design Changes
Explains how screenshots, renderings, and top views should become structured repair actions instead of another pile of untracked opinions.

Dev.to · Xu Bian
🖌️ UI/UX Design
⚡ AI Lesson
2mo ago
A Designer's Core Value Is Judgment, Not Faster Drafting
Discusses how AI moves designer value from low-level execution toward goals, constraints, feedback, and version judgment.

Dev.to · Xu Bian
🖌️ UI/UX Design
⚡ AI Lesson
2mo ago
AI Workbench for Designers: How Designers Should Work With AI
Explains why AI tools for designers should behave as durable workbenches, not just chatbots, image generators, or automatic drafting plugins.

Dev.to · Xu Bian
🤖 AI Agents & Automation
⚡ AI Lesson
2mo ago
How Codex Can Drive Verifiable SketchUp Modeling
An architecture walkthrough explaining how Codex or another agent CLI can use runtime skills, an MCP server, a SketchUp Ruby bridge, and a structured design mod

Dev.to · Xu Bian
🖌️ UI/UX Design
⚡ AI Lesson
2mo ago
Designers Should Think, Not Draft
A product and workflow essay arguing that AI should reduce low-level drafting work so designers can focus on intent, judgment, constraints, and tradeoffs.

Dev.to · Xu Bian
⚡ AI Lesson
2mo ago
Why AI Design Tools Need a Source of Truth
Using SketchUp Agent Harness as the example, this essay explains why AI design tools need an editable, verifiable, repairable, replayable structured source of t

Dev.to · Xu Bian
🤖 AI Agents & Automation
⚡ AI Lesson
2mo ago
SketchUp Agent Harness
An early-stage open-source project that connects natural-language agents, an MCP server, a SketchUp Ruby bridge, structured design models, and runtime skills in
DeepCamp AI