Capabilities

The experience behind the build.

From product and architecture decisions to the code, cloud and release. Technical depth to build, and the judgement to choose what fits.

01 — Capabilities

What our engineers bring.

Start with the work you need done. These are the capabilities and tools we use to deliver it. We confirm the relevant experience, people and fit for each engagement.

Commerce and customer experience

  1. 01

    Headless & composable commerce

    • Shopify custom & admin apps
    • B2B/B2C storefronts
    • Multi-brand headless storefronts
  2. 02

    Front-end engineering

    • Nuxt/Vue
    • React
    • Next.js
    • Three.js / WebGL
    • HTML/CSS
  3. 03

    Mobile

    • Flutter
  4. 04

    Content, product data & search

    • Storyblok
    • Plytix
    • Algolia
  5. 05

    Analytics & marketing tech

    • Google Tag Manager
    • Google Analytics
    • Google Ads
  6. 06

    Product, UX & design

    • Product scoping
    • User research
    • UX/UI design
    • Prototyping
    • Design systems
    • Figma

Engineering and integrations

  1. 01

    Back-end & data

    • Node.js
    • SQLite
    • AWS Lambda
    • DynamoDB
    • SQS
  2. 02

    Architecture & engineering practice

    • Solution architecture
    • Technical trade-offs
    • API design
    • SOLID / clean architecture
    • C4 model
    • SAFe delivery

Cloud and delivery

  1. 01

    Cloud & infrastructure as code

    • AWS ECS Fargate
    • CloudFront
    • S3
    • AWS CDK
    • SST
    • Cloudflare
    • Docker
    • Containers
  2. 02

    DevOps & platform engineering

    • GitLab CI/CD
    • Release automation
    • Rollback
  3. 03

    DevSecOps & application security

    • AppSec automation
    • Dependency upgrades
    • Cloud/IaC hardening
    • Anthropic Cyber Verification Program (approved member)
  4. 04

    Technical leadership & delivery

    • Technical direction
    • Team mentoring
    • Engineering standards
    • Stakeholder alignment
    • Jira
    • Confluence
    • Linear

AI and product

  1. 01

    AI-assisted engineering

    • AWS Bedrock
    • MCP integrations
    • Agent skills
    • Claude
    • Claude Code
    • RAG
    • OpenClaw
  2. 02

    AI in products

    • LLM product features
    • Plain-English data queries
    • Content generation
    • Agents
    • Data boundaries

02 — Your process

We work inside your process.

With an existing team, we work in your board, docs and ceremonies. Starting without one? We agree a practical delivery process around the product and keep decisions and knowledge in tools your team can use.

How we engage

Book a 15-minute intro

With Dusan · Google Meet

Talk through your project and where BPW could help.

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