The Dopstack journal
Engineering notes and illustrated scenarios.
Practical decisions behind software, cloud and AI systems. Our notes explain the trade-offs; our scenarios show how an approach could work. Scenarios are conceptual examples, not published client projects.
Featured / Applied AI
How should you secure an MCP server before connecting it to company data?
A practical MCP server security plan for identity, token scope, tool permissions, audit logs and denial tests before company data is connected.
Engineering notes
Questions, decisions and checks drawn from our practice.
Applied AI
What does an AI agent cost per successful task?
Calculate AI agent cost per successful task using all model calls, retries, tools and human review, then compare options without hiding failures.
Cloud & reliability
Should AI workloads share your developer platform?
Compare shared, hybrid and dedicated developer-platform paths for AI workloads using isolation, operations, cost and ownership constraints.
Applied AI
Who can an AI agent act for? Design tool permissions for production workflows
Design AI agent permissions around the real actor, allowed action, target resource and approval state, then test denial and revocation.
Software modernization
Where can AI help a legacy migration without rewriting business rules incorrectly?
Use AI to inventory and transform legacy code while proving behavior with golden tests, data reconciliation and recoverable migration slices.
Applied AI
Your AI prototype works. Is the workflow ready for production?
A practical way to scope an AI workflow, evaluate real failures, design human review and release a system that can be paused safely.
Software modernization
How do you modernize a system that cannot stop?
A step-by-step way to choose a migration boundary, route traffic gradually, reconcile data and make the first legacy-system change recoverable.
Cloud & reliability
Will checkout survive your busiest hour?
Test complete purchases under a realistic traffic mix, protect checkout from overload and rehearse retries and recovery before a major sales event.
Illustrated engineering scenarios
Representative problems and proposed approaches. These are not claims of completed client work.
Illustrative scenario / Financial Services
A staged approach to core banking modernization
A hypothetical banking migration that tests routing, data ownership and recovery before replacing more of the core.
Illustrative scenario / Financial Services
An example path from AI claims prototype to production
A hypothetical claims-intake design that separates extraction, routing and human decisions, then tests failures before release.
Illustrative scenario / Healthcare
How a clinic network could unify patient scheduling
A hypothetical multi-clinic scheduling design that treats appointment ownership, access and fallback as first-class requirements.
Illustrative scenario / Retail & Commerce
An example plan for checkout at peak-season load
A hypothetical retail load plan that measures completed purchases, protects scarce dependencies and rehearses ambiguous payment states.
Illustrative scenario / Logistics
How to design multi-carrier shipment visibility
A hypothetical shipment-tracking design that makes source, event time and data freshness visible across carrier feeds.
Illustrative scenario / Education
How an existing learning platform could add adaptive pacing
A hypothetical adaptive-pacing design that integrates with an existing LMS while preserving accessibility and instructor control.
Put the idea to work
Start with the problem in front of you.
Tell us where your system gets difficult. We’ll help you map the constraints and a practical first step.