How to Adopt Flux as a Team
It is a new way to work, not only new software
The biggest difference between Flux and legacy tools like Altium and SolidWorks is not the software. It is the way your engineering team thinks about designing products.
Legacy tools are built around engineers who create and manage design files. Flux works differently: engineers define design intent, constraints, and requirements. Then they work with AI to produce and refine the design.
That changes how you organize engineering work, how engineers spend their time, and how fast your team can iterate.
The shift is from:
“I am the person who draws and builds the design.”
To:
“I am the person who defines what the design must do, directs the work, and verifies that the result is correct.”
The fundamental difference
| Dimension | Altium / SolidWorks | Flux |
|---|---|---|
| Starting point | CAD model or schematic | Requirements and design intent |
| Engineer’s role | Create the design | Direct, review, and refine the work of the AI |
| Main interaction | Commands, sketches, placement, routing | Instructions in plain language, plus direct editing |
| Iteration | The engineer makes every change | The AI proposes and makes changes |
| Collaboration | Shared files, PDM, cloud review | One project in the browser, edited in real time |
| Engineering knowledge | In people, standards, and files | Written down as project context, rules, and instructions |
| Main bottleneck | Time to create designs | Quality of requirements, verification, and decisions |
Flux covers electronics, mechanical design, firmware, simulation, and manufacturing in one project. Judge it on your real projects, not on demos.
The six mindset shifts your team needs
1. From drawing geometry to defining intent
Engineers do not start by drawing a circuit or modeling a part. They start by describing performance, interfaces, operating conditions, cost, size, and constraints.
The key skill becomes knowing exactly what the product must do, not only knowing how to operate CAD.
So tell the agent what the product must do, and let it decide how. The agent is a capable engineer: it researches, compares parts, and checks its own work without being told to. The common mistake is to micromanage it with every part, value, and step. Each extra constraint removes an option that the agent could have found.
Define the product
2. From one design to exploring alternatives
Traditional workflows push engineers toward one architecture, because modeling alternatives is expensive.
With Flux, your team can investigate several component selections, layouts, or architectures before it commits to one. The engineer is responsible for comparing the tradeoffs.
3. From creating everything to verifying everything
Work from an AI can look convincing and still contain electrical, mechanical, or manufacturing mistakes.
Your engineers must become very good at finding incorrect assumptions, checking calculations, reviewing simulations, and proving that designs meet requirements.
Ask the agent about the requirement, not about each step of the review:
Verify the design
4. From sequential handoffs to concurrent engineering
In many teams, electrical engineering completes a board, and then mechanical engineering designs around it. With Flux, teams work from shared product constraints and iterate together.
This requires more agreement on interfaces and system requirements at the start.
5. From tribal knowledge to explicit engineering rules
Write down your team’s design preferences, approved components, tolerances, safety margins, and manufacturing standards.
An AI cannot reliably follow engineering knowledge that nobody has written down. In Flux, these rules become part of the project and the organization, so every engineer and every agent uses the same rules.
6. From measuring activity to measuring outcomes
Stop using hours spent on routing, modeling, or drafting as the main measure of productivity.
Measure time to a validated prototype, engineering defects, design iterations, cost targets, and manufacturing readiness.
Explore and write the spec in Flux before you implement
Do not start with the schematic or the CAD model. Start with the agent, and use it to think before anyone implements anything.
- Research: ask the agent how similar products work, which parts and standards apply, and what the risks are.
- Brainstorm: ask for several product concepts and architectures, with the tradeoffs of each one.
- Sketch: let the agent sketch ideas and industrial design concepts, so the team can see the product before it commits to one direction.
Explore before you implement
The Flux agent made this sketch before anyone implemented anything. The team saw the product and agreed on the direction first.
Then write the spec in Flux, together with the agent. The spec becomes part of the project. Every engineer and every agent works from the same requirements, and you check the finished design against the same spec.
This step costs little and saves the most time. A wrong assumption that you find in the spec costs a few minutes. The same wrong assumption that you find on a prototype board costs weeks.
What this looks like in practice
Imagine your team develops a battery-powered industrial sensor with a custom board and enclosure.
Traditional workflow
- System requirements
- Electrical engineer creates the schematic
- PCB designer places and routes
- Mechanical engineer designs the enclosure
- Firmware engineer integrates
- Prototype, test, and redesign
AI-native workflow with Flux
- Engineering team explores with Flux Research, brainstorming, concept sketches, industrial design ideas
- Engineering team writes the spec in Flux Power budget, sensor accuracy, enclosure size, environmental conditions, target cost, interfaces, compliance requirements
- Flux generates candidate designs Electronics Mechanical Firmware Parallel work in one shared project
- Engineers verify and improve Technical reviews, simulation, integration, physical testing, manufacturing validation
- Release the validated product design
Flux does more of the implementation work. Your engineers still own every decision and sign off on every release.
How your engineering roles change
| Role | Traditional emphasis | AI-native emphasis |
|---|---|---|
| Electrical engineer | Schematic capture, component selection, circuit implementation | Architecture, constraints, circuit verification |
| PCB designer | Placement, routing, design rules | Signal integrity, manufacturability, review of the AI layout |
| Mechanical engineer | CAD modeling, drawings, assemblies | Mechanical architecture, tolerances, structural validation |
| Firmware engineer | Writing and debugging the implementation | Behavior specification, integration, testing |
| Engineering lead | Assigning tasks and reviewing progress | Managing requirements, interfaces, decisions, and verification |
Engineers still need deep technical expertise. Expertise becomes more valuable, because an experienced engineer finds the subtle design problems that an AI can miss.
Bring your existing work into Flux
Your team does not start from zero. Flux imports the work that you already have, so the AI works on your real designs from the first day.
- Complete electronics projects: schematics, parts, and board layouts from Altium, Cadence OrCAD and Allegro, KiCad, Siemens PADS and Xpedition, Zuken CADSTAR, Eagle, Fusion Electronics, and EasyEDA.
- Part libraries: the symbols, footprints, and 3D models of the parts that your team already uses.
- Mechanical parts and complete assemblies: through STEP, from tools like SolidWorks, CATIA, Creo, Onshape, NX, and Fusion.
After the import, tell the AI what to change. For example: “Replace the regulator with a part that has a lower quiescent current” or “Move the USB-C cutout 3 mm toward the mounting tab.” You can export all your files at any time and get them manufactured.
Start with a four-week pilot
Do not replace Altium or SolidWorks on day one. Run a four-week pilot on a real but manageable design. You can import an existing project or start from requirements.
- Week 1: Define the target. Choose a representative product. Research and brainstorm with the agent, then write the spec in Flux with measurable requirements.
- Week 2: Build in Flux. Build the design in Flux. Write down your instructions, corrections, and engineering decisions.
- Week 3: Review independently. Do an independent engineering review and compare the result with your traditional workflow.
- Week 4: Validate and decide. Validate the deliverables and decide which work moves to Flux.
Track engineering hours, number of corrections, verified requirements, design defects, and readiness for manufacturing. Do not judge the pilot by how fast the first schematic appears.
Pick the pilot where most of your work is. If your products are mainly circuit boards, pilot a board. If your products combine motors, mechanisms, mechanical parts, and assemblies, include the mechanical design in the pilot from the first week.
The biggest organizational mistake to avoid
Do not treat Flux as a faster Altium.
If your engineers still get vague requirements, work in isolated disciplines, and review designs only at the end, AI makes some tasks faster but does not improve the development process.
The larger opportunity is to organize around small, cross-functional teams that own complete product outcomes, while AI does more of the implementation work.
Make three things central to your engineering culture: precise requirements, fast design exploration, and rigorous independent validation.
See how Flux works for teams →
FAQs
No. Start with a four-week pilot on one real design. You can import existing projects into Flux, keep your current tools during the pilot, and then decide which work moves to Flux.
Yes. Flux imports complete projects with schematics, parts, and board layouts from Altium, Cadence OrCAD and Allegro, KiCad, Siemens PADS and Xpedition, Zuken CADSTAR, Eagle, Fusion Electronics, and EasyEDA. Mechanical parts and complete assemblies come in through STEP, from tools like SolidWorks, CATIA, Creo, Onshape, NX, and Fusion.
Engineers research and brainstorm with the agent, write the spec in Flux, direct the AI, compare design alternatives, and verify the result with reviews, simulation, and physical tests. They own every decision and every release.
Write down your preferences, approved components, tolerances, safety margins, and manufacturing standards. Add them to your Flux projects and organization as context and rules, so every engineer and every agent works from the same standards.
Measure outcomes, not activity: engineering hours, number of corrections, verified requirements, design defects, and readiness for manufacturing. Compare these numbers with the same work done in your traditional workflow.
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