Digital Consulting Plus working and engineering methodology for organizing decisions, execution, evidence, and learning with AI.
DCP Flow · Public Handbook
The human manual for the methodology.
Explore the complete institutional Handbook structure through curated public content. This documentation explains DCP Flow; it does not replace its private normative source.
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Learning path
Start here
If DCP Flow is new to you, begin with foundations and then follow a path based on your goal.
Documentation
Public Handbook map
01Full public content
DCP Flow: what it is and why it exists
Introduction to DCP Flow, its purpose, origins, and principles for working with AI without losing architecture, governance, or human accountability.
Open →02Full public content
How DCP Flow works
Explains the DCP Flow operating model, its pragmatic Scrum adaptation, core artifacts, Golden Flows, evidence, and human acceptance.
Open →03Full public content
How to start a project
Journey from problem and capabilities through discovery, ADR, architecture, Golden Flows, sprint, execution, evidence, and learning.
Open →04Full public content
Kai and working with AI agents
Distinguishes DCP Flow, Kai, Execution Agents, and humans; explains Human Gates, Execution Contracts, Handoffs, context, routing, and multi-agent work.
Open →04AFull public content
Kai operational capabilities
Describes Kai capabilities that may be authorized across repositories, Git/GitHub, documentation, audit, Linux, cloud, IaC, and Manual Fallback.
Open →05Full public content
Institutional Prompt Cookbook
Interaction patterns for audit, discovery, sprint, handoff, parallel work, Git/Kai, infrastructure, incidents, QA, deployment, and release.
Open →06Full public content
Solution Discovery explained for humans
Problem, Capability Matrix, SaaS, OSS, components, licensing, security, reproducible shortlist, Golden Flows, GAP/TCO/risk, ADR, and ADOPT/CONFIGURE/INTEGRATE/EXTEND/BUILD.
Open →07Full public content
Architecture, stack, and technology ecosystem
Separates Architecture, Stack, Runtime, Environment, Infrastructure, and Tooling; covers Runtime Profiles, provider neutrality, IaC, CI/CD, observability, and Tool Catalog.
Open →07AFull public content
Tool & MCP Registry
Operational tool/MCP registry with ADOPTED/EXPERIMENTAL/REJECTED/DEPRECATED/UNKNOWN states, guardrails, and relationships to Skills, Standards, and ADRs.
Open →07BFull public content
Hostinger MCP for DCP websites and hosting
When Hostinger API MCP applies to Websites, Domains/DNS, shared hosting, and VPS; boundaries against Git/deployment/SSH/IaC, OAuth, minimum scope, and POC.
Open →08Full public content
Quality Gates, QA, security, and evidence
Risk R0–R3, gates, QA, data safety, browser/runtime validation, artifacts, Truth Labels, Evidence Chain, Independent AI Review, and Known Debt.
Open →08AFull public content
Quality profiles and testing strategy
How DCP Flow derives a Quality Profile from Delivery Mode, risk, lifecycle, and change surface to require proportional evidence.
Open →09Full public content
Git, branches, PRs, and multi-agent work
main/dev/working branch, PR/diff, Pre-Merge Audit, technical/logical protection, concurrency contracts, shared interfaces, Break-Glass, and Merge Authority.
Open →10Full public content
Deploy, release, support, and operational evolution
Deploy ≠ Release; readiness, config/secrets, migrations, backup/recovery, rollback, Release Evidence, production, support, incidents, Operational Debt, and Runbooks.
Open →10AFull public content
Container First and standardized host operations
Operational convention for reproducible deployments on DCP-controlled infrastructure: Git, repo/deploy, Docker/Compose, /opt/dcp, persistence, and recovery.
Open →10BFull public content
Practical Container First demo
Pedagogical example of a containerized project with Compose, persistence, backup/restore, and separation between Git definition and operational state.
Open →11Full public content
How DCP Flow evolves
Learning lifecycle, Lessons Learned, Improvement Proposals, Standard/Blueprint/Skill/Gate/Tool classification, deprecation, version awareness, and knowledge promotion.
Open →12Full public content
Real cases and lessons learned
Normia, Rewi/MicroPOS, Kai, n8n, and DCP Web S9/S10: evidence, promotion, generalization boundaries, and EspoCRM evolution from validated integration to ADOPTED lightweight CRM stack.
Open →13Full public content
How to teach DCP Flow
Onboarding, audience learning objectives, Training Paths, workshops, Public Curation, Public-Safe Content, Teaching Examples, editorial classification, and comprehension assessment.
Open →14Full public content
Practical DCP Flow use cases
Eighteen end-to-end scenarios combining Discovery, architecture/stack/cloud, Quality Gates, Git/multi-agent work, deploy/release, incidents, upgrades, and the website + external CRM case with EspoCRM as a contextual ADOPTED option.
Open →15Full public content
End-to-end playbooks: Web and Laravel
Complete paths for taking a Web/Astro or Laravel solution from problem and discovery through Foundation Ready, release, smoke, operations, and learning.
Open →Essential glossary＋
Engineering assistant that interprets and applies DCP Flow within available context and authorization.
Checkpoint where evidence determines whether work may progress.
Critical end-to-end journey that must work and produce verifiable evidence.
Proof of an observed or executed result; not an agent assertion.