> Markdown version of [/videos/1164-more-efficient-software-for-more-efficient-microchips?t=1661](https://www.wearedevelopers.com/videos/1164-more-efficient-software-for-more-efficient-microchips?t=1661). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# More efficient software for more efficient microchips

Agile software development is colliding with rigid manufacturing hardware. The physical machine is always right. Learn how shift-left testing safely bridges this Industry 4.0 culture gap.

- **Speakers:** [Andreas Kaldun](https://www.wearedevelopers.com/@andreas-kaldun)
- **Event:** 
- **Published:** August 22, 2024
- **Duration:** 30:37
- **URL:** https://www.wearedevelopers.com/videos/1164-more-efficient-software-for-more-efficient-microchips

## Summary

The transition to Industry 4.0 creates a profound "clash of cultures" as fast-paced software development collides with traditional manufacturing engineering. As factories adopt IoT and digital twins, software developers enter environments governed by fixed communication standards like OPC UA and PLCs. This convergence highlights sharp contrasts: agile software operates on short life cycles with continuous integration, while industrial hardware entails decade-long lifespans, rigid constraints, and highly deferred feedback loops.

To succeed in these environments, developers must internalize that "the hardware is always right"—crashing a physical machine carries real-world consequences beyond a simple system reboot. Physical testing environments are often rare, expensive, or bound by strict compliance regulations, such as FDA mandates for medical devices. To bridge this testing gap, developers must apply their coding expertise to architect custom hardware-in-the-loop simulations and build automated compliance documentation. By introducing shift-left testing methodologies to hardware domains, developers can run iterative nightly builds even when physical components are completely unavailable.

Ultimately, unifying these engineering disciplines requires cross-functional empathy and constant communication. Software teams must carefully introduce modern practices like automated unit testing and code coverage to hardware engineers without alienating them, while actively adapting to immutable physical realities. Establishing equal partnership between developers and hardware engineers ensures that traditional manufacturing operations can successfully scale into the data-driven digital era without compromising on their robust quality standards.

**Keywords:** industry 4.0, iot integration, digital twin modeling, plc environments, opc ua protocols, hardware-in-the-loop simulation, shift-left testing, fda compliance standards, automated compliance documentation, industrial manufacturing automation, legacy hardware constraints, agile hardware development, cross-functional engineering, ci/cd manufacturing pipelines

## Chapters

1. **Introduction to Zeiss and industrial manufacturing hardware** (00:00) — Background on Zeiss and its various industrial hardware sectors including highly specialized microchip manufacturing equipment.
1. **Evolution of industrial revolutions and digital factories** (02:32) — Industrial manufacturing transitions from automated assembly lines to utilizing real-time data and full digital twins.
1. **Bridging modern software with the automation pyramid** (05:42) — Developers must extract data stored in legacy formats using modern protocols like OPC-UA and MQTT to bridge old and new systems.
1. **Culture clash between hardware engineers and software developers** (08:30) — Integrating modern software practices into established hardware projects causes friction around work environments and varying technology dependencies.
1. **Contrasting product lifecycles and software update constraints** (10:30) — Modern software expects rapid deployment whereas manufacturing equipment has multi-decade lifespans and strictly restricted offline update protocols.
1. **Defining the source of truth in hardware projects** (14:36) — Software prioritizes flexible customer requirements, while industrial engineering dictates that the physical limitations of the hardware act as the absolute truth.
1. **Balancing agile practices with strict compliance standards** (17:01) — Development teams can strategically use automation tools to generate the vast amounts of documentation required by health and safety regulators.
1. **Integrating shift-left testing into manufacturing equipment validations** (20:02) — Shifting away from traditional end-of-production hardware validation to continuous shift-left testing introduces systemic workflow changes for engineering teams.
1. **Managing hardware dependencies for automated test pipelines** (21:59) — Lacking continuous access to physical testbed machines, software development teams must build and rely on realistic simulators to run continuous automated tests.
1. **Fostering cross-discipline communication and shared quality assurance** (24:33) — Bridging disparate domains requires mutual respect, a focus on holistic quality, and proactively teaching source control practices to hardware teams.
1. **Discussion on software-driven manufacturing and simulator costs** (27:41) — An audience discussion covers applying software-centric mindsets to large-scale automobile manufacturing and justifying high development costs for digital twin simulations.

## Related Moments

- [Shifting the focus from hardware to complex systems](https://www.wearedevelopers.com/videos/1635-breaking-the-hardware-mindset-overcoming-barriers-to-system-level-innovation) (from "Breaking the Hardware Mindset: Overcoming Barriers to System-Level Innovation")
- [Aligning hardware ecosystems with industrial regulatory compliance mandates](https://www.wearedevelopers.com/videos/100141-physical-ai-the-era-of-intelligent-machines) (from "Physical AI: The Era of Intelligent Machines")
- [Applying industrial factory management concepts to software developers](https://www.wearedevelopers.com/videos/666-unveiling-the-dark-side-navigating-the-pitfalls-of-digital-ambitions) (from "Unveiling the Dark Side: Navigating the Pitfalls of Digital Ambitions")
- [Introduction to cyber-physical systems and software](https://www.wearedevelopers.com/videos/742-how-to-domain-model-an-example-from-manufacturing) (from "How to Domain Model – An example from manufacturing")
- [Modernizing deployment pipelines for embedded hardware devices](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) (from "WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More")
- [Transitioning from web development to constrained hardware engineering](https://www.wearedevelopers.com/videos/557-iot-the-road-to-sustainability) (from "IoT: The road to sustainability")

## Related Articles

- [Now is the time for industrialized software development](https://www.wearedevelopers.com/magazine/601-now-is-the-time-for-industrialized-software-development)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)

## Related Jobs

- [Senior Architect Realtime Bare-Metal Software](https://www.wearedevelopers.com/jobs/ext/381559-senior-architect-realtime-bare-metal-software) at **ZEISS Group**
- [Senior Developer Bare-Metal and Realtime Software](https://www.wearedevelopers.com/jobs/ext/380849-senior-developer-bare-metal-and-realtime-software) at **ZEISS Group**
- [Head of Firmware Development/ Embedded Systems](https://www.wearedevelopers.com/jobs/ext/1599203-head-of-firmware-development-embedded-systems) at **ZEISS Group**
- [Scientific Software Developer - Tolerance Analysis & Algorithm development](https://www.wearedevelopers.com/jobs/ext/1417919-scientific-software-developer-tolerance-analysis-algorithm-development) at **ZEISS Group**
- [Machine Learning Engineer](https://www.wearedevelopers.com/jobs/ext/1597388-machine-learning-engineer) at **ZEISS Group**
- [Developer Embedded Linux](https://www.wearedevelopers.com/jobs/ext/381560-developer-embedded-linux) at **ZEISS Group**