Key Outcomes
- AI-native DX readiness scorecard across APIs, documentation, tooling, and agent consumability
- Consumer landscape mapping — human developers, AI copilots, autonomous agents, and non-traditional makers
- Agent consumability audit — can AI agents discover, understand, and use your platform without human intervention?
- Documentation and discoverability assessment for both human and machine consumption
- Protocol readiness review — MCP, A2A, and emerging agent-to-platform interaction patterns
- Prioritised transformation roadmap from traditional DX to AI-native DX
Tools & Technology
Our Approach
The definition of "developer" is expanding faster than most platforms can adapt. Today's platform consumers include traditional developers writing code, makers and creators building with low-code tools and AI assistants, copilots that pair-program alongside humans, and fully autonomous agents that discover, integrate, and operate on platforms without any human in the loop. Your DX needs to work for all of them.
We assess readiness across four dimensions: human DX (does your platform still deliver world-class experience for developers writing code?), agent consumability (can an AI agent discover your capabilities, understand your APIs, and use them correctly without human guidance?), protocol readiness (are you ready for MCP, A2A, and the emerging standards that agents use to interact with platforms?), and documentation as interface (is your documentation structured for machine comprehension as well as human understanding?).
The assessment follows a four-week cadence: stakeholder interviews and consumer landscape mapping in week one, hands-on DX evaluation and agent consumability testing in week two, protocol and documentation readiness review in week three, and strategic transformation roadmap delivery in week four.
What's Included
- Consumer landscape mapping — identifying all current and emerging platform consumers
- Human DX evaluation across onboarding, APIs, documentation, and tooling
- Agent consumability testing — can AI agents successfully use your platform end-to-end?
- Protocol readiness assessment for MCP, A2A, and agent interaction standards
- Documentation audit for machine-readability and structured discoverability
- Competitive benchmarking against AI-native platform leaders
- Transformation roadmap with phased recommendations for AI-native DX