A customer cannot complete an order after a software update. Your developer says the feature passed testing. The hosting provider says the server is running. Your staff are handling complaints, but it is unclear who will coordinate a fix.
For a business owner, that gap can mean delayed orders, interrupted work, and time spent coordinating suppliers. Before the next release, it is worth establishing who follows a change through to its effect on the business.
Jiwei Zhang describes a similar gap in “Nobody Wants to Own Production. That's Exactly Why We Do.”, an essay from Core70, a Shinetech company:
“We don't separate the people who build the software from the people who live with the consequences.”
— Jiwei Zhang, founder of Core70
The principle is familiar in DevOps: development and operations share responsibility and use feedback from running software to improve it. AWS describes DevOps as a combination of culture, practices, and tools. For a customer, the useful question is how those responsibilities work in the actual engagement.
Make Responsibility Specific
Production means the live system your customers and staff use. Responsibility for that system needs to cover several distinct jobs:
- Running the system: who monitors problems, responds to incidents, and coordinates recovery?
- Building for continued use: who checks how a change will be monitored, maintained, and reversed if it fails?
- Preserving business knowledge: who records unusual rules and the reasons behind important decisions?
- Improving the product: who identifies recurring problems and proposes changes worth prioritizing?
A long-standing development relationship does not automatically include incident response. An operations agreement does not automatically include product improvement. The scope, authority, support hours, and escalation path should be agreed explicitly. An engineer can contribute to reliability without having unrestricted access to the live system.
Core70 describes its own approach to these responsibilities. Shinetech's arrangements vary by engagement: engineers may work within a client-led process or remain involved through release, maintenance, and further development. Shared engineering values still need specific agreements.
Look for Ownership Before Release
Consider an update to an ordering system. Testing confirms that new orders arrive, but the team also needs to consider failed payments, repeated requests, and orders interrupted halfway through.
Useful questions include: how will staff notice a missing order? Can the previous version be restored safely? What happens to orders already created? Who decides whether to pause the release?
These questions turn responsibility into visible engineering work: checks for failure scenarios, useful alerts, recovery instructions, and a clear release decision. After an incident, someone should own the follow-up changes that reduce the chance of a repeat.
Keep Business Knowledge in the Team
Why does one customer have a different approval path? Why does an apparently obsolete feature still support an important account? Code can show what happens without explaining why the business needs it.
A team that stays involved has the opportunity to learn those reasons and use them when assessing changes. Shinetech's dedicated developer and team model supports this kind of continued involvement.
In one financial insurance SaaS engagement, Shinetech reports a partnership of more than seven years. Its dedicated team covers feature development, maintenance, architecture improvements, and long-term support; the work also includes security improvements and cloud monitoring. This illustrates how a relationship can extend beyond an initial delivery.
Continuity also needs a handover plan. Important business rules, technical decisions, and recovery procedures should be recorded where the client and authorized team members can access them. Shared reviews and planned handovers help another engineer take over. Ask how the team preserves its knowledge when someone leaves.
Expect Useful Improvement Proposals
Continued involvement gives engineers opportunities to recognize patterns. Repeated support requests may reveal a confusing workflow. Staff copying information between systems may point to an integration worth improving.
A useful proposal explains the problem, its effect on users or staff, the likely effort, and the trade-offs. The business can then decide whether it deserves priority. Regular discussions about support issues and manual work make room for this contribution alongside planned feature development.
AI can help with implementation and testing; OpenAI's work with Cognition describes stronger testing and evidence of results. The business still needs a clear agreement on who approves changes, monitors their impact, responds to failures, and maintains the system over time.
Five Questions to Ask Your Software Partner
Ask for concrete examples and written responsibilities:
- When a live problem affects customers, who coordinates the response? Clarify coverage hours, the expected acknowledgment time, and who takes over if the main contact is unavailable.
- Before a release, who approves it and checks the recovery plan? Ask how the team handles affected data as well as restoring the software.
- Where are our business rules and important decisions recorded? Make sure the records remain accessible to your business.
- If an engineer leaves, how does someone else take over? Discuss documentation, shared knowledge, and handover arrangements.
- How does the team propose improvements beyond our tickets? Ask for an example of a recommendation, its reasoning, and how the client decided what to do.
Clear answers make it easier to judge what you are buying and where your own team needs to remain involved. A lasting software partnership should make responsibility visible, preserve knowledge, and help the business keep improving the system it depends on.
Discuss the Next Stage of Your Software
If your software needs ongoing development, maintenance, or modernization, talk with Shinetech about the team and responsibilities that fit your business.
Sources and Further Reading
Sources reviewed September 15, 2026.
- Jiwei Zhang, “Nobody Wants to Own Production. That's Exactly Why We Do.”, Core70, September 2026.
- AWS, “What Is DevOps?”
- OpenAI, “Cognition Helps Devin Test Its Own Work with GPT-6 Astra.”, September 11, 2026.
- Shinetech Software, “AI-Ready Dedicated Developers for Complex Systems.”
- Shinetech Software, “Revamping a SaaS Platform for a Financial Insurance Company.”
Hero image: ThisisEngineering RAEng on Unsplash.