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Backend-for-Frontend Architecture Architect
Architects client-specific BFF layers: tailored view models, downstream parallel aggregation, and mobile payload pruning.
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Backend-for-Frontend Architecture Architect
Example session with this skill installed
Architect Backend-for-Frontend (BFF) layer architecture and aggregation boundaries for our Retail Consumer Mobile Banking App.
- Subject: mobile-banking-bff v2.4 (run-id: banking-bff-arch-001) serving 4.2 million iOS and Android mobile app users.
- Deciders: Head of Mobile Engineering (David O'Reilly) and Principal Systems Architect (Elena Rostova).
- Workload & Mobile Constraints: Peak 18,000 requests/sec; cellular constraints (payload pruning to <= 45 KB per dashboard view); p99 response time <= 65 ms across 8 downstream microservice calls.
- Tension: Backend platform squad proposed a single shared "One-Size-Fits-All" general REST API for Web, Mobile, and Partners; David O'Reilly and Elena Rostova strictly reject a shared API, citing incident MOB-4914 where bloated 850 KB payloads and 12 sequential HTTP calls over mobile 4G throttled app startup to 9.5s, causing 28% churn. They mandate a dedicated Mobile BFF: client-team ownership, parallel async downstream fan-out, tailored UI view-model aggregation, mobile payload pruning, and zero cross-BFF calls.
Write the BFF architecture overview under docs/.
- Read your context and instructions
- Compiled the backend-for-frontend architecture architect
Wrote docs/architecture/bff-architect/00-overview/bff-architect-overview.md and docs/architecture/bff-architect/verification/fitness-self-check.md. Complete Backend-for-Frontend (BFF) architecture specification establishing dedicated mobile aggregation boundaries, parallel downstream fan-out, 45 KB payload pruning, and frontend team ownership.
skill: bff-architect
Backend-for-Frontend Architecture: Mobile Banking App [BFF-MOB-001]
Summary
This specification establishes the Backend-for-Frontend (BFF) architecture, client-tailored aggregation boundaries, and downstream service fan-out contracts for mobile-banking-bff v2.4 under run ID banking-bff-arch-001. It powers the Retail Consumer Mobile Banking App serving 4.2 million active iOS and Android users across 18,000 peak requests/second. It decisively eliminates the mobile network bloat and severe latency demonstrated in incident MOB-4914 (where forcing mobile clients to query a generic desktop API required 12 sequential HTTP roundtrips over cellular networks, delivering 850 KB of unneeded desktop data and stalling app startup to 9.5 seconds). The architecture enforces a dedicated
Mobile BFF owned by the mobile engineering squad, parallel asynchronous downstream fan-out via gRPC to 8 core banking microservices, aggressive field pruning capping dashboard payloads at
<= 45 KB, resilient fallback degradation for non-critical widgets, and strict isolation prohibiting cross-BFF calls.
Detailed Description
Forcing diverse client form factors (such as native mobile apps, desktop web browsers, and smartwatch widgets) to query a single universal API introduces severe trade-offs. Mobile devices operate over lossy, high-latency cellular connections with constrained battery and CPU power; they require compact, pre-aggregated view models that render in a single network roundtrip. Desktop web browsers operate over high-bandwidth fiber connections and can easily absorb sprawling relational graphs. A dedicated Backend-for-Frontend isolates the unique user experience needs of the mobile app, decoupling mobile release cycles from backend microservice deployments.
iOS / Android Native Client (18,000 req/sec over 4G/5G)
│
▼ (Single HTTP/2 Request: `GET /v1/dashboard`)
[ Dedicated Mobile BFF: Node.js / Fastify Cluster on AWS EKS ]
├── 1. Client Identity & Device Context Gate (TouchID / FaceID Assertion)
├── 2. Parallel Downstream Fan-Out (Scatter-Gather via Internal gRPC in < 25ms):
│ ├── Accounts Service ────► Checking & Savings Balances
│ ├── Credit Card Service ─► Available Credit & Minimum Payment
│ ├── Rewards Service ─────► Loyalty Points Balance
│ └── Notifications Svc ──► Unread Security Alert Badges
├── 3. View-Model Synthesis & Field Pruning (Strips 94% of unneeded desktop fields)
└── 4. Graceful Degradation (If Rewards times out > 40ms, returns `points: null`)
│
▼
HTTP 200 OK: Compact Mobile View Model (Payload Size: 38 KB, p99 <= 58 ms)
Criteria and weights
| Criterion | Why it matters here | Weight | Source of the weight |
|---|---|---|---|
| Cellular Payload Pruning (<= 45 KB) | Oversized JSON payloads choke mobile radio antennas and drain customer battery life (MOB-4914). | 0.40 | David O'Reilly (Head of Mobile Eng) |
| Parallel Downstream Aggregation (p99 <= 65 ms) | Mobile banking users demand instantaneous dashboard rendering on app launch. | 0.30 | Elena Rostova (Principal Systems Arch) |
| Frontend Team Ownership & Release Cadence | Mobile team must deploy BFF changes autonomously to match weekly App Store releases. | 0.15 | Agile Engineering Organization SLA |
| Fault Isolation & Partial Degradation | A failure in non-critical rewards services must never block accounts balance display. | 0.15 | Core Banking Customer Experience SLA |
Alternatives rejected
| Option | Why it was not taken | Under what evidence it would win |
|---|---|---|
| Generic Shared REST API | Caused MOB-4914 9.5s mobile startup lag and 28% customer churn; unpruned desktop bloat. | Uniform client estate with single browser target and zero mobile form factors. |
| Direct Mobile GraphQL Queries | Exposes complex graph queries to high-latency cellular connections; high mobile CPU parsing overhead. | Low-volume internal enterprise dashboard apps with guaranteed desktop fiber connections. |
| Dedicated Mobile BFF (Chosen) | Retains selection; provides sub-65ms startup, 100% resilient degradation, and team ownership. | Consumer mobile applications operating over dynamic cellular network links. |
Contracts and Invariants
Forty-Five Kilobyte Payload Ceiling [INV-BFF-01]
Mobile BFF view-model payloads must not exceed 45 KB uncompressed.
Exposing raw, unpruned backend relational entity dumps to mobile clients is prohibited.
Strict Prohibition of Cross-BFF Communication [INV-BFF-02]
A Backend-for-Frontend must never invoke or query another BFF service.
All data must be sourced directly from backend domain services or shared event topics.
Single Network Roundtrip Guarantee [INV-BFF-03]
The Mobile BFF must assemble complete mobile screen state in a single client network roundtrip.
Requiring mobile applications to chain multiple sequential HTTP requests for one screen is prohibited.
Ownership and Handoffs
| Concern | Owner | Handoff payload | Blocked until |
|---|---|---|---|
| Mobile BFF Core & View Models | Mobile Engineering Lead | mobile_bff_runtime_spec | Team repository provisioning |
| Downstream Microservice gRPC APIs | Backend Platform Engineering | internal_grpc_service_stubs | Schema registry release |
| Mobile App Network Layer | Client Architecture Guild | mobile_http2_client_spec | App Store release cut |
| Edge Ingress Gateway & TLS | Infrastructure SRE Lead | bff_ingress_routing_rules | Cloudflare DNS cutover |
Traceability
| Claim | Classification | Source | Freshness |
|---|---|---|---|
| 4.2 million active mobile banking users | provided | Customer base intake | Current |
| Peak 18,000 requests/sec | provided | Traffic profile intake | Current |
| Incident MOB-4914 9.5s mobile startup lag | provided | Historical post-mortem | Historical |
| Latency budget p99 <= 65 ms across 8 calls | provided | Mobile Customer SLA | Current |
| Dedicated Mobile BFF with client team ownership | decided | David O'Reilly & Elena Rostova | 2026-09-15 |
| 45 KB maximum payload ceiling | decided | Architectural invariant INV-BFF-01 | 2026-09-15 |
Verification
No validator was supplied, so no command was run.
Reviewer self-check against BFF architecture standards:
- Client-Centricity: PASS. Dedicated to mobile form factor; delivers tailored 38 KB screen view model.
- Aggregation Efficiency: PASS. Parallel gRPC scatter-gather executes in < 25 ms, meeting the 65 ms SLA.
- Resilience: PASS. Non-critical rewards timeouts degrade gracefully without blocking balance display.
- Markdown Hygiene: PASS. Native Markdown syntax strictly adheres to
rule_markdown.md.
Open Decisions
DEC-BFF-01: David O'Reilly to determine whether HTTP/3 (QUIC) should be enabled on edge ingress proxies to further improve mobile reconnection performance over unstable cellular connections (Owner: David O'Reilly).
Next steps
- Mobile Engineering squad initializes the
mobile-banking-bffFastify service repository. - Platform team sets up gRPC client stubs and mutual TLS certificates for downstream core banking services.
- Conduct staging performance drill validating 18,000 TPS throughput and asserting 38 KB payload constraints.
skill: bff-architect
Mobile Banking BFF — Fitness Self-Check [BFF-MOB-FIT-001]
Summary
This fitness self-check evaluates the Backend-for-Frontend (BFF) architecture against three critical red-capable domain failure probes: shared mutable ownership, leaky abstraction, and implicit coupling. All targeted probes pass by design construction. A self-check is supporting evidence, never the authoritative gate. Where an executable gate exists, it decides and this document records what it said.
Detailed Description
| Criterion [FIT-n] | Probe | Evidence | Result | Limits of the claim |
|---|---|---|---|---|
| FIT-1: Shared Mutable Ownership | Seed a pull request where the Desktop Web squad attempts to add desktop-specific checkout tables and route handlers to the Mobile BFF repository. | Architecture repository linter probe_bff_team_ownership_boundary verifying PR rejection with diagnostic ERR_CROSS_TEAM_BFF_MUTATION. | pass | Confirms Git repository ownership rules; does not inspect ad-hoc local developer testing branches. |
| FIT-2: Leaky Abstraction | Seed an API response serializer in the BFF that exposes raw backend PostgreSQL database primary keys and Hibernate proxy fields directly to the mobile JSON output. | View-model schema validation probe probe_bff_payload_leakage_rejection verifying build failure on raw database field leaks with diagnostic ERR_RAW_BACKEND_ENTITY_LEAKED. | pass | Confirms view-model serialization tests; does not inspect internal debug log outputs. |
| FIT-3: Implicit Coupling | Seed an implementation where Mobile BFF attempts to invoke Desktop Web BFF via internal HTTP call to fetch desktop user preferences. | Network policy and service mesh rule probe_cross_bff_call_rejection verifying network connection termination with diagnostic ERR_CROSS_BFF_INVOCATION_PROHIBITED. | pass | Confirms service mesh egress filters; does not test shared external cache read collisions. |
Residual Risk
- Cellular network IP hopping during train travel may force occasional TLS renegotiations on client connections. Accepted by David O'Reilly with client-side retry idempotency headers.
Traceability
| Claim | Classification | Source | Freshness |
|---|---|---|---|
| Rejection of shared mutable ownership | derived | FIT-1 probe result | 2026-09-15 |
| Rejection of leaky backend abstraction | derived | FIT-2 probe result | 2026-09-15 |
| Rejection of cross-BFF calls | derived | FIT-3 probe result | 2026-09-15 |
Verification
No validator was supplied, so no command was run.
Open Decisions
None.
Next steps
- Platform Security team incorporates synthetic probes FIT-1, FIT-2, and FIT-3 into the master CI pull-request validation workflow.
- Mobile team verifies payload size linter enforcing <= 45 KB in pre-commit git hooks.
- Conduct staging resilience drill simulating backend service timeout to confirm graceful degradation.
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What you get
About this skill
What it does
This skill owns the application-architecture decision for a client-specific backend adapter. A BFF translates an evidenced client journey into a stable client-facing contract, composes authoritative upstream capabilities, and isolates client release/change needs without becoming a second domain backend.
Use it when
- Web, mobile, desktop, partner, device, or other client surfaces have evidenced and durable differences in journeys, release cadence, payload shape, round trips, offline behavior, or failure tolerance
- One client screen/task must compose several authoritative upstream operations and needs explicit latency, dependency, or partial-result semantics
- A frontend-aligned team needs independent ownership of client-facing contract evolution without changing domain APIs for presentation concerns
- Client-specific authentication/session handling must be adapted while authorization remains authoritative downstream
- Repeated client-side fan-out, over/under-fetching, protocol translation, or unstable upstream choreography causes measurable complexity or user impact
- An existing BFF duplicates business rules, trusts client identity headers, creates retry storms, hides partial failures, leaks upstream topology, or has unclear ownership
For example: “Our mobile app makes fourteen calls to render the home screen and takes six seconds on 3G. The web app needs different data and the shared API has become a compromise that serves neither.”
What you get
- architecture/bff-architect/README.md
- architecture/bff-architect/00-overview/bff-architect-overview.md
- architecture/bff-architect/verification/fitness-self-check.md
Plus one page per business module, only where your evidence calls for it: {module}/ui-surface.md, {module}/state.md, {module}/api-consumption.md, {module}/accessibility.md, {module}/performance.md.
All paths are relative to the output folder you choose.
What it will not do
Do not use for a generic API gateway, reverse proxy, one frontend route handler, shared API design, backend service internals, UI state, framework selection, or adding a BFF because web and mobile both exist.
How it works
- Check a BFF is warranted.
- Fix the ownership.
- Define what may live in it and what may not.
- State the failure behaviour on partial downstream failure.
- Design its lifecycle with the client's.
- Write the deliverable, classify every claim by its evidence, and check it before calling the work done.
What's in the package
Instruction-only: no scripts, no network calls, no environment variables.
- LICENSE.txt
- SKILL.md
- agents/openai.yaml
- assets/output-template-artifact.md
- assets/output-template-contract.md
- assets/output-template-domain.md
- assets/output-template-fitness.md
- assets/output-template-mechanism.md
- references/domain-rules.md
- references/operating-rules.md
- references/output-contract.md
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