Closing the context gap in AI-assisted development
A general-purpose AI assistant does not know your architecture, your coding standards, or the internal rules your team works by. Point it at your codebase without guidance, and it will guess. It will invent patterns you abandoned two years ago, ignore undocumented linting rules, and behave differently in Cursor than it does in GitHub Copilot.
The BAS framework is the technical setup that closes that gap. It defines your AI-assisted development standards in a structured format the AI reads before it generates code, enforces those checks while work happens, and maintains consistent alignment across every developer tool your team uses.
Steering files, enforcement hooks, and MCP synchronisation
A standard AI agent setup using BAS covers three core technical jobs:
What the AI Reads
Structured AI steering files and context parameters — your architectural patterns, coding rules, and project boundaries written specifically for the model — alongside reusable skills and domain packs for common engineering tasks.
How Rules Are Enforced
Automated repository hooks verify code changes as developers write them, while continuous integration (CI) gates block non-compliant code before it reaches a release branch.
How Tools Stay Aligned
Through Model Context Protocol (MCP tool synchronisation), every AI coding tool your team uses reads the same steering rules, ensuring identical AI behavior whether a developer works in Cursor, Claude Code, or Copilot.
How BAS fits into our delivery model
The BAS framework connects team methodology with technical verification:
SYNC Framework
Establishes how the team works through daily collaborative routines.
BAS Framework
Configures what the AI works with by embedding steering controls directly into the codebase.
TRACE Framework
Verifies how the software stays sound by catching structural drift across sessions.
During an AI Delivery engagement, our forward-deployed engineers configure BAS on your codebase before active development starts. This ensures AI models are steered from day one, leaving behind an instrumented setup your internal team can run and extend independently.
Configured repositories and auditable controls
Tailored Steering Configuration
Complete AI steering files, skills, and domain packs tuned specifically to your codebase and internal standards.
Automated CI/CD Pipeline Gates
Hooks and enforcement checks wired directly into your existing development workflow.
Synchronized Tool Environment
One shared configuration file that every AI tool reads, eliminating tool-specific discrepancies.
Team Handover Documentation
A concise engineering guide allowing your staff engineers to modify and extend the setup as your codebase grows.
Direct repository configuration
BAS operates entirely as configuration within your existing engineering setup. It adds steering files and automated checks directly into your existing git repository and CI pipeline, requiring no external servers, third-party runtimes, or data transfers outside your controlled environment.
Align your coding tools
Schedule a BAS setup call
Book a technical scoping session with our engineering leads to review your codebase architecture and plan your BAS implementation.
Review framework documentation
Explore the BAS specification and configuration examples to see how BAS structures context.