iNBest Azure Spec-Driven Development Adoption

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.