• UNDERSTANDING THE PROUDCLOUD WAY

    COLLABORATIVE + ITERATIVE + AGILE + AI NATIVE

  • 1

    THE KICKOFF

    We meet with you and your stakeholders to scope your goals and objectives. Together we agree the sprint schedule, the initial feature list for the first release, and which AI tools may work on your code.

    2

    THE BUILD

    Following our code production workflow, our engineers turn each story into a clear spec, direct AI coding agents to build it, and review every line before it ships. One-week cycles keep the product moving and the quality high.

    3

    COLLABORATION

    The key to a project’s success relies on continued communication between us and the stakeholders. A flow of feedback assures that the development process can quickly adjust course to address challenges and exploit opportunities that may surface throughout the course of the project.

    4

    POST-PRODUCTION

    After launch, many clients need continued support or a handover to an internal team. Every Proudcloud codebase carries documented architecture, conventions and AI agent instructions, so the people who come next are productive in days, not weeks.

  • WORKFLOW

    We don't do fixed-bid projects. We work on a Time & Materials basis, billed bi-weekly. Agile projects are dynamic: as features, priorities and business rules change, so do delivery estimates and workload. Agentic engineering makes this model work harder for you. Build time shrinks, so you can explore more scope each month and re-prioritize every sprint instead of renegotiating a contract. AI tooling costs are included in our rates.

    TEAM STRUCTURE

    A standard Proudcloud team is five people plus your Product Owner: more senior judgment, fewer hands on keyboards.

    PRODUCT OWNER (CLIENT)

    Your single point of contact, ideally your Product Manager. You prioritize stories, answer spec questions within one business day and run user acceptance testing.

    DELIVERY LEAD (SCRUM MASTER)

    Runs sprint planning, keeps every story spec-ready, manages scope and timelines, and is your day-to-day contact.

    TECH LEAD/ARCHITECT

    Owns the architecture and infrastructure, sets up and governs the AI agents, and reviews every pull request before it merges.

    AI-AUGMENTED ENGINEER

    Turns stories into specs, runs coding agents in parallel, and refines, tests and integrates their output. One engineer with agents now delivers what a two-developer pair used to.

    Q/A VERIFICATION ENGINEER

    AI agents write the routine tests. QA owns exploratory, end-to-end and edge-case testing, and checks that the tests actually prove the acceptance criteria.

    UI/UX DESIGNER

    Guided by the Product Owner and Delivery Lead, owns the design system and key user flows, using AI-assisted prototyping to move faster on routine screens.

    HUMAN-AGENT PAIRING

    Our engineers drive and AI agents write, and a second senior engineer reviews every change before it merges. You keep the core benefit of pair programming, two minds on every line, at agentic speed.

    SPRINT PROCESS (1-week, Scrum + XP, standups)

    We employ Agile methods (A hybrid of SCRUM and XP) for all our development projects.

    • We use agile methods, a hybrid of Scrum and XP, on every project.
    • Sprints run one week, Monday to Friday.
    • A person in your organization acts as Product Owner, defining and prioritizing stories and confirming acceptance criteria before each sprint.
    • You see the project board on GitHub Projects and every change as a GitHub pull request, in real time.
    • Each Monday, a sprint review demos last week's work on staging, then plans the week ahead.
    • A daily 10–15 minute standup with the Product Owner runs on Slack.
    • Stories are accepted through hands-on testing on a staging server at the end of each sprint.

    HOW A STORY MOVES

    1. Product Owner writes the story; Delivery Lead makes it spec-ready.
    2. Engineer breaks the spec into tasks for AI agents.
    3. Agents write code, tests and docs; automated checks run.
    4. Engineer refines the work and opens a pull request.
    5. Tech Lead reviews and approves the merge.
    6. QA verifies on staging.
    7. Product Owner accepts or rejects in UAT.

  • PROJECT MANAGEMENT METHODOLOGY

    Making use of SCRUM and Github Projects

    01

    THE ICEBOX

    Stories, chores and ideas start in the Icebox, at kickoff and throughout the project. At each sprint, the team moves the highest-priority items to the Backlog. A story moves only when it's spec-ready: clear acceptance criteria, known edge cases and attached designs. Nice-to-haves stay in the Icebox until they earn a place on the roadmap.

    02

    POINT ESTIMATION & VELOCITY

    We estimate stories at 1, 3, 5 or 8 points. With AI agents doing much of the typing, points now measure complexity and review effort, not keyboard time. Velocity, the points accepted each sprint, sets the forecast. We also track cycle time and first-pass acceptance rate, so timelines sharpen with every sprint.

    03

    THE BACKLOG 

    As stories are completed, the Product Owner reviews and accepts them. Prompt acceptance keeps velocity accurate. GitHub Projects tracks progress throughout. Stories that fail UAT are rejected with a reason; the team fixes them and resubmits for another round of review.

  • BEST PRACTICES

    We use agile methodologies when we map out and build a project with you. This approach is driven by realistic goals, collaboration, and rapid iterations to ensure quick and successful outcomes.

    HUMAN-AGENT PAIRING

    Our engineers drive, AI agents write, and a second senior engineer reviews every change. Two minds on every line, at agentic speed, with less technical debt.

    SPEC-DRIVEN DEVELOPMENT

    With AI agents, the quality of the spec decides the quality of the code. No story is built until it has clear acceptance criteria, edge cases and designs.

    SCRUM

    We practice the SCRUM methodology throughout all our projects. This provides all stakeholders with a clear collaborative path while maintaining quick iterative development cycles that help project owners reach early Minimum Viable Product release.

    THE STANDUP

    Every project has a daily 10–15 minute standup on Slack covering progress, blockers and AI-generated work waiting for review. The whole engineering crew also meets weekly for 20 minutes to share issues, solutions and calls for help across projects.

    QUALITY GATES

    Every change passes four gates: automated tests, linting and security scans; approval by a senior engineer; QA verification on staging; and your acceptance testing. Nothing merges red, whoever or whatever wrote it.

    AI USE & SECURITY

    You own all source code. We use only business-tier AI tools that exclude your code from model training. Production data and credentials never go into AI prompts. Clients in regulated sectors such as health, finance or government can restrict which AI tools touch their code.

    OUR TOOLS

    We manage sprints on GitHub Projects, version code on GitHub, and run continuous integration on CircleCI and GitHub Actions. Our engineers build with AI coding agents such as Claude Code, Cursor and GitHub Copilot. AppSignal alerts us to runtime issues as they happen.

    UI/UX

    When a project needs UI/UX design, our designer leads the early sprints on wireframes, user flows and the design system, then continues part-time alongside the build. AI-assisted prototyping covers routine screens, so design time goes to the flows that matter most. Design scope is agreed at kickoff.

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