ZephyrCode Labs Inc San Diego · Engineering
Services Tools R&D Process Work FAQ

Software · Tools · Research

Engineering software that ships and scales.

ZephyrCode Labs builds production-grade applications, developer tooling, and applied technology research for B2B product and platform teams.

Explore capabilities View delivery examples
zephyr-workspace — main.ts EXPLORER ▾ src/ api/ core/ tools/ ▾ tests/ unit/ e2e/ 1import{ buildPipeline } from './tools'; 2export async function deployService() { 3 const pipeline = buildPipeline({ 4stage:'compile', target: 'prod' 5 }); 6return pipeline.run(); 7} TERMINAL $ zephyr test --coverage ✓ 847 tests passed (12.4s) Coverage: lines 94.2% · branches 89.1% $ zephyr deploy --env staging Deploy complete · build #2847 GIT ● main feat/api-v3 fix/latency CHANGES M core/deploy.ts A tools/cli.ts
Fig. 01 — Integrated development environment for product engineeringDownload SVG
120+Production releases shipped annually
38Developer tools in active maintenance
Custom SoftwareWeb, API, and platform backends
Programming ToolsCLIs, SDKs, IDE extensions
Technology R&DPrototypes, benchmarks, pilots
Quality SystemsCI pipelines, test automation
DocumentationAPI refs, runbooks, onboarding

Core services

Three engineering disciplines, one delivery team.

ZephyrCode Labs operates as a B2B engineering partner — from greenfield product builds to toolchain modernization and applied research that de-risks your roadmap.

SYSTEM ARCHITECTURE — CUSTOM SOFTWARE API Gateway Auth Service Order Service Analytics Svc PostgreSQL Cluster Redis Cache Message Queue

Custom Software Development

End-to-end application engineering for B2B platforms — from domain modeling and API design through deployment, observability, and long-term maintenance.

  • REST and GraphQL API platforms
  • Multi-tenant SaaS backends
  • Data pipelines and ETL services
  • Legacy system modernization
PROGRAMMING TOOLS — DEVELOPER TOOLCHAIN ZEPHYR CLI $ zephyr init my-project Created scaffold with tests $ zephyr lint --fix Fixed 12 issues in 3 files $ zephyr publish v2.4.0 LINTER · ESLint + custom rules 0 errors · 2 warnings Rule pack: zephyr-strict v1.8 DEBUGGER · Breakpoint panel paused at deploy.ts:47 watch: pipeline.status PACKAGE REGISTRY @zephyr/core @zephyr/test @zephyr/deploy @zephyr/schema 38 packages · semver · signed releases

Programming Tools

We design and maintain the developer-facing tooling that accelerates your engineering org — CLIs, SDKs, linters, debug adapters, and IDE integrations.

  • Command-line interfaces and scaffolds
  • Language SDKs and client libraries
  • Static analysis and lint rule packs
  • VS Code and JetBrains extensions
R&D LAB — BENCHMARK & PROTOTYPE DASHBOARD LATENCY BENCHMARK — API v3 prototype — prototype - - baseline PROTOTYPE MODULES edge-cache-v2 stream-parser auth-token-v4 schema-diff EXPERIMENT LOG 2026-03-12 · EXP-041 · p99 latency reduced 34% vs baseline 2026-03-08 · EXP-039 · stream-parser memory footprint −18% 2026-03-01 · EXP-037 · auth-token-v4 pilot approved for staging

Technology R&D

Applied research programs that validate technical bets before full product commitment — prototypes, performance benchmarks, and feasibility studies with clear deliverables.

  • Architecture proof-of-concept builds
  • Performance and load benchmarking
  • Compiler and parser experiments
  • Technology evaluation reports

Product suite

Programming tools built for daily engineering work.

The Zephyr toolchain is maintained alongside client projects — battle-tested in production pipelines before release to your team.

Zephyr CLI

Project scaffolding, dependency management, local dev servers, and one-command deploys across environments.

Zephyr Test Runner

Parallel test execution with coverage reporting, snapshot management, and CI-friendly JUnit XML output.

Zephyr Profiler

CPU and memory profiling for Node.js, Python, and Go services with flame graph export and regression alerts.

Zephyr Schema

OpenAPI and JSON Schema generation, validation middleware, and diff tools for API contract governance.

Zephyr Deploy

Blue-green and canary deployment orchestration with rollback hooks, health checks, and deployment audit logs.

ZEPHYR TOOLCHAIN — INTEGRATED DASHBOARD CLI$ zephyr build ✓ compiled$ zephyr test TEST RUNNER847 passed94.2% coverage PROFILERp99: 42ms−12% vs last SCHEMA VALIDATOROpenAPI 3.1 · 142 endpoints validated · 0 drift DEPLOY PIPELINEstaging ✓ → canary 10% ✓ → prodbuild #2847 · rollback ready
Fig. 02 — Connected toolchain from build to production deployDownload SVG

Technology R&D

Research programs with measurable outcomes.

Our R&D practice is structured around time-boxed experiments, reproducible benchmarks, and written findings — not open-ended exploration.

  • 4–8 week sprint cycles with defined success criteria
  • Benchmark suites tied to your production SLAs
  • Prototype code delivered in your repository
  • Executive-ready evaluation reports with go/no-go recommendations
  • Knowledge transfer sessions for your internal engineering team
R&D SPRINT BOARD — Q1 2026 BACKLOG EXP-042 GraphQL federationEst. 3 weeks EXP-043 WASM runtime IN PROGRESS EXP-041 API v3 latencyDay 18 of 28 EXP-039 Memory opt. COMPLETED EXP-037 Auth token v4GO — staging pilot EXP-035 Schema diff FINDINGS REPORT — EXP-041 Metric: p99 latency 187ms → 123ms (−34%) Metric: throughput 4.2k → 6.1k rps (+45%) Recommendation: PROCEED to production integration Risk: requires cache invalidation policy update Author: ZephyrCode R&D · Date: 2026-03-12
Fig. 03 — Sprint board and findings report from an active R&D cycleDownload SVG

Delivery process

A repeatable path from spec to production.

Every engagement follows the same five-stage framework — adapted to your release cadence, compliance requirements, and team structure.

01 · Discover

Scope & architecture

Requirements workshops, domain modeling, technical feasibility, and architecture decision records.

02 · Design

Contracts & interfaces

API specifications, data schemas, UI wireframes for internal tools, and integration point mapping.

03 · Build

Iterative development

Two-week sprints with demoable increments, code review, and continuous integration from day one.

04 · Verify

Test & harden

Automated test suites, load testing, security review, and documentation completion.

05 · Operate

Deploy & support

Production rollout, monitoring setup, runbook delivery, and optional ongoing maintenance.

Technology stack

Languages and platforms we engineer on daily.

Stack choices are driven by your existing infrastructure and team skills — not vendor preferences.

Languages

  • TypeScript / JavaScript
  • Python
  • Go
  • Rust
  • Java / Kotlin

Backend

  • Node.js / Fastify
  • Django / FastAPI
  • PostgreSQL
  • Redis / Memcached
  • Kafka / RabbitMQ

Frontend & Tools

  • React / Next.js
  • Vue / Nuxt
  • Electron
  • VS Code API
  • Language Server Protocol

Infrastructure

  • AWS / GCP / Azure
  • Docker / Kubernetes
  • Terraform
  • GitHub Actions
  • Datadog / Grafana

Selected work

Recent delivery examples.

Representative engagements across software development, tooling, and applied research — anonymized where required by client agreement.

MULTI-TENANT SAAS PLATFORM — ADMIN DASHBOARD TENANTS● Acme Corp Beta Industries Delta Systems USAGE METRICS — Acme Corp API calls: 2.4M/mo · Storage: 840 GB BILLING API ENDPOINTSGET /v2/tenants/{id}/usagePOST /v2/tenants/{id}/invoicesGET /v2/plans142 endpoints · OpenAPI 3.1

Custom Software · 14 months

Multi-tenant B2B SaaS platform

Built a subscription billing and usage-metering platform serving 200+ enterprise tenants with role-based access, audit logging, and SOC 2-aligned controls.

Stack
TypeScript, PostgreSQL, Redis, AWS
Outcome
3× faster tenant onboarding
IDE EXTENSION — ZEPHYR LINT FOR VSCODE 1functionprocessOrder(order) { 2 const total = order.items.reduce(...) 3 return total; PROBLEMS ⚠ ZEPHYR-042 Missing null check ✕ ZEPHYR-018 Unused import QUICK FIX → Add optional chaining → Remove import REFACTOR → Extract calculateTotal()

Programming Tools · 8 months

Enterprise lint IDE extension

Developed a VS Code extension with 60+ custom lint rules, auto-fix providers, and CI integration for a fintech engineering org with 400+ developers.

Stack
TypeScript, LSP, VS Code API
Outcome
40% fewer PR review cycles
R&D BENCHMARK — QUERY ENGINE COMPARISON p99 LATENCY (ms) Base Opt-A Proto-B Opt-C FINDINGS Proto-B: 187ms → 98ms Throughput: +52% Memory: −11% RECOMMEND: Proto-B 6-week R&D sprint Delivered: code + report

Technology R&D · 6 weeks

Query engine performance study

Evaluated three query engine architectures for a data platform vendor — delivering benchmark data, prototype implementations, and a production integration roadmap.

Stack
Rust, Go, PostgreSQL
Outcome
48% latency reduction
12+Years combined engineering leadership
94%Average test coverage on delivered code
847Tests in largest single codebase maintained
4.8Average client satisfaction score (5.0 scale)

Engagement models

Flexible ways to work together.

Whether you need a dedicated squad for a product build, a tooling team to modernize your developer experience, or a research sprint to validate a technical direction — we structure engagements to match your timeline and budget.

All models include source code ownership transfer, documentation deliverables, and knowledge transfer sessions.

  • Fixed-scope project delivery
  • Embedded engineering squad
  • Tooling & platform retainer
  • R&D sprint engagements
  • Code audit & remediation
  • CI/CD pipeline setup
CI/CD PIPELINE — DELIVERY INFRASTRUCTURE GIT REPOmain branch BUILDcompile + lint TEST847 passed STAGINGauto deploy PRODUCTIONcanary → full rollout PIPELINE METRICS Avg build: 4m 12s · Deploy frequency: 12/week · MTTR: 18 min · Rollback rate: 0.3%
Fig. 04 — Standard CI/CD pipeline deployed for client projectsDownload SVG

FAQ

Common questions from engineering leaders.

Answers to the questions we hear most often during initial conversations with VP Engineering, CTO, and platform team leads.

Yes. All code, documentation, and tooling artifacts produced during an engagement are transferred to your organization upon delivery. We do not retain licensing claims on client-specific work.
Absolutely. Most engagements involve extending or modernizing existing systems rather than greenfield builds. We follow your coding standards, branching strategy, and review processes from day one.
R&D sprints are time-boxed (typically 4–8 weeks) with predefined success metrics, benchmark suites, and a written go/no-go recommendation. You receive working prototype code and a findings report — not slide decks.
Custom software projects range from 3–18 months depending on scope. Tooling engagements typically run 2–6 months. R&D sprints are fixed at 4–8 weeks. We provide a detailed timeline during the discovery phase.
Yes. We offer optional maintenance retainers covering bug fixes, dependency updates, security patches, and minor feature additions for systems we build or adopt from your team.
We implement OWASP-aligned secure coding practices, dependency scanning, secrets management, and role-based access controls. Security review is integrated into our Verify stage, not bolted on at the end.