Support for scenario-based infrastructure planning (tiering, traffic, region, Azure-first vs cost-optimized paths) during Technology Choice conversations

[ushakrishnan]

Support for Scenario-Based Infrastructure Planning During Technology Choice Conversations

Context

Over the weekend I worked hands-on with HVE and used the Technology Choice conversation after the Plan phase to explore infrastructure and stack decisions for a solution build.

Rather than asking for a single recommended architecture, I was trying to reason through multiple deployment paths based on expected operating constraints such as:

• Free-tier vs paid tier hosting choices
• Azure-first party alignment vs cost-optimized multi-cloud options
• Expected traffic volume
• Regional deployment decisions
• Mapping stack selection where flexibility exists

---

What Worked Well

The Technology Choice interaction was useful in helping:

• Translate solution intent into an initial stack recommendation
• Generate boundaries within which alternative tech choices could be evaluated
• Identify areas where multiple viable implementation paths exist
• Request substitution of components in certain portions of the stack (e.g., mapping layer)

This allowed me to move forward with writing technical choices grounded in a clearer understanding of feasibility and tradeoffs.

---

What I Was Trying to Do

My goal was not just to select a technology stack, but to explore scenario-driven architecture paths such as:

If I want to stay within free-tier constraints
If I expect X level of traffic
If I want to remain Azure-first party
If I deploy in region Y

…and understand how those conditions would impact downstream technology selection across the system.

In practice, this becomes a form of:

• Constraint-based infrastructure planning
• Cost vs alignment tradeoff analysis
• Region-aware architecture shaping
• Stack substitution based on scale expectations

---

Opportunity

It may be valuable for HVE to support more explicit “what-if” scenario exploration within the Technology Choice phase, for example:

• Choosing planning goals (cost-minimal, Azure-aligned, latency-sensitive, etc.)
• Modeling expected traffic ranges
• Selecting deployment regions early
• Indicating preference for first-party services where possible

This could allow users to reason through different stack compositions before locking into implementation direction.

---

Why This Matters

Many enterprise builders are not simply choosing a stack — they are deciding:

• Whether to stay within cost constraints
• Whether to align with platform strategy
• Whether to scale for anticipated usage
• Whether to maintain flexibility in component choice

Enabling this kind of guided decision exploration may improve both:

• Architectural clarity
• Implementation confidence

during early planning stages.

---

Sharing in case this helps inform future planning or user experience design for Technology Choice conversations.

#enhancement #planning #technology-choice #ux #architecture

[katriendg]

Thanks for the detailed write-up — this is a really useful signal, and the scenario-driven framing (cost posture, traffic band, region, vendor alignment) is exactly the kind of decision shaping that's currently underserved. I think there's a valid addition here, but I'd like to think through where it lands before we commit to a shape.

A few things on my mind:

Keeping hve-core generic. We're actively trying to keep core generic enough. The extensibility layer (collections + skills) is a design idea we're experimenting with right now. A lot of what you're describing (free-tier specifics, Azure-first alignment, regional SKU availability, pricing-tier tradeoffs) is genuinely Azure-flavored, and baking that into a core conversation would tilt the framework toward one area. The constraint elicitation piece ("what cost posture? what traffic band? what region?") feels generic and core-worthy; the resolver piece (which SKU, which tier, which region) feels like it belongs in a vendor-scoped skill or collection that core agents can invoke when the user opts in.

Where do you see this living? Before we pick a shape, I'd like to understand your mental model:

• Do you see this as part of the RPI flow (Researcher / Planner / Implementor) — i.e., generic scenario reasoning that runs regardless of cloud?
• Or does it sit more naturally with ADR Creation and System Architecture Reviewer, which are already in the project-planning collection and already touch technology-choice and tradeoff territory?

Have you experimented with either of those agents on this same problem? It would really help to know what they got right, what they missed, and where the conversation broke down — that tells us whether this is a gap in those agents, a missing skill they should be invoking, or genuinely a new agent.

Maintenance load — please factor this in. Whatever shape we land on, the domain content carries real upkeep cost:

• Pricing data goes stale fast — we'd need a live-lookup contract (Retail Prices API, Pricing Calculator) rather than embedded numbers. MCP servers available here?
• Regional service availability shifts.
• First-party / SKU recommendations need a refresh cadence and an owner.
• Free-tier limits change without notice.

A skill or agent that embeds any of this statically becomes a liability quickly.

I'd rather have one more round of discussion with you on the above before any of us start prototyping and evaluating.