iNBest Azure Spec-Driven Development Adoption
iNBest
Development teams are already using AI coding assistants day to day, but usage is ad-hoc: prompts live in chat windows, context is lost between sessions, and decisions about scope, architecture, and acceptance criteria are never captured anywhere durable. As AI-generated code accelerates delivery, it also multiplies risk: nothing is version-controlled, nothing is auditable, and nothing survives a handoff between developers.
iNBest's Spec-Driven Development (SDD) program helps your team formalize AI-assisted development on GitHub. Instead of letting requirements live only in prompts, SDD turns them into a versioned specification stored in your GitHub repository, reviewed like code, validated through GitHub Actions-based CI, and used as the single source of truth from which implementation is derived. Over an 8-week engagement, iNBest guides your team through four phases, Discover, Foundation, Build, and Consolidate, culminating in a real feature shipped end-to-end under the SDD methodology, a written adoption guide, and a measured baseline of your team's development autonomy.
WHAT IS INCLUDED
- Diagnostic of your current AI-assisted development workflow and selection of a real use case
- Team training on the SDD methodology and its requirements-to-spec-to-implementation-to-validation flow
- Hands-on delivery of one real feature from requirement to spec to implementation to validation, using GitHub as the system of record
- Guidance on structuring specifications for GitHub-based review and CI validation
- An adoption guide documenting how to apply SDD to future work
- A baseline measurement of team development autonomy
- An executive readout at project close
WHAT IS NOT INCLUDED
- Ongoing or dedicated engineering staffing beyond the engagement scope
- Migration of existing codebases to the SDD methodology beyond the selected use case
- Licensing for GitHub, GitHub Copilot, or any third-party developer tooling
- Long-term managed services (available separately as a post-engagement check-in)
WHO THIS IS FOR
- Development teams already using AI coding assistants informally who want governed, auditable workflows
- Technical leads and developers who will run the SDD methodology day to day
- Organizations with active projects that require traceability, governance, and scale, not one-off prototypes or quick tasks
Contact iNBest to schedule a discovery call and scope your 8-week Spec-Driven Development engagement on GitHub.