Exploration · Engineering Workflow
AI-Assisted Engineering Workflows
How can AI become an engineering multiplier without turning the engineering process into uncontrolled AI-generated output?
- LLMs
- RAG
- Agents
- MCP
- Prompt Engineering
[ An exploration of engineering workflows — not every experiment is a production system. ]
01The problem
How can AI become an engineering multiplier without turning the engineering process into uncontrolled AI-generated output?
02Context
I have been exploring how LLMs, agents, MCP-based tools and retrieval can be integrated into engineering workflows.
The focus is not simply “using AI to generate code”. It is designing a workflow where AI can:
What AI should be able to do
03Ideation
I wanted to move from simple prompt-based assistance toward workflows where AI has access to relevant engineering context and tools.
Before
After
04Solution
My exploration includes concepts such as:
- LLMs
- RAG
- Agents
- MCP
- Prompt Engineering
- Tool-assisted workflows
- Context retrieval
- Automated validation
05Architecture
Component 01
Task
A real engineering task, not an open-ended prompt.
Hover or tap a component
06Key learning
AI is most useful when it is integrated into an engineering system with context, tools and validation rather than treated as a standalone chatbot.
Next exploration
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