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Supervised Slingshot™

AI development that actually works. Structured methodology with senior human oversight at every step.

DevObsessed transforms how enterprise teams build custom software—delivering faster results, higher quality code, and documented systems that scale.

Why Most AI Development Initiatives Fail

Organizations either avoid AI completely or create disorder through unstructured usage. Both paths waste potential.

Technical Entropy

Teams adopt AI tools without structure, producing inconsistent code patterns and accumulating technical debt that compounds over time.

Developer Resistance

Without proper training and methodology, experienced developers either reject AI entirely or use it inconsistently, leaving potential on the table.

Lost Context

AI tools forget previous decisions between sessions, causing duplicated work and inconsistent outputs across team members.

The Supervised Slingshot™ Framework

Three interlocking components that bring structure, memory, and intelligence to AI-assisted development.

1

The Perfect 10%

The foundation that accelerates everything else

We collaboratively build the most impactful 10% of your codebase: the foundational architecture and conventions that guide both AI and human developers through the remaining 90%.

  • Core scaffolding with golden-path tests
  • Documentation capturing architectural decisions
  • Embedded prompts and usage patterns for LLM consistency
  • Initial modules demonstrating team standards
2

LLM Kanban

Persistent memory for AI-human collaboration

A task-management system that maintains context across sessions and team members, enabling genuinely agentic AI support with full project history awareness.

  • Structured task cards with role-specific guidance
  • Cross-session memory and architectural context preservation
  • Time tracking and progress summarization
  • Model Context Protocol (MCP) integration
3

Code Captain

Living intelligence embedded in your codebase

A progressively refined ruleset and prompt repository that lives inside your code repository, giving AI agents localized context and behavioral norms.

  • Component-specific prompts and instructions
  • Continuous refinement during development cycles
  • Cross-contributor and cross-tool cohesion

Beyond Tools: Transforming Developer Identity

Successful AI adoption is more than tooling. It requires reshaping how teams think about collaboration, quality, and delivery. Our methodology addresses the human side of AI through structured coaching and cultural change.

Shared Context

Faster delivery with fewer misalignments and rework cycles.

Persistent Memory

No redundant starting points. Each session builds on previous work.

Human-AI Teamwork

Clear collaboration lanes and productive review processes.

Quality Governance

No prompt chaos, tool sprawl, or accumulated technical debt.

Cultural Transformation

Converts AI unpredictability into reliable force multiplication.

Implementation Process

A proven rollout that gets your team productive with AI in weeks, not months.

Phase 1Week 1

Assessment & Planning

Evaluate current development practices, team composition, and AI readiness to tailor the methodology to your organization.

Phase 2Weeks 2-4

Foundation Building

Collaboratively build The Perfect 10%: the architectural foundation and conventions that direct all project work.

Phase 3Weeks 3-6

System Integration

Deploy LLM Kanban, Code Captain, and AI review processes customized to your tools and workflows.

Phase 4Ongoing

Team Coaching

Sustained guidance addressing the psychological dimensions of AI adoption for lasting organizational change.

Ready to Transform Your Development Process?

Stop experimenting with AI and start getting structured results. Join enterprise leaders using Supervised Slingshot™ to build software faster and better.