Naftiko Capabilities Podcast for March 3rd, 2026 - AI, Platform Engineering, Guardrails, and the Human Cost

Naftiko Capabilities Podcast for March 17th, 2026 - Zero Touch API Governance with Budha from Tyke and Supreet from Northwestern Mutual

For this episode of the Naftiko Capabilities podcast we sat down with Budhaditya Bhattacharya from Tyk and Supreet Nagi from Northwestern Mutual to talk API governance. Supreet shares his practitioner perspective on achieving zero touch governance, where compliance is baked into the development lifecycle rather than being a gate or checkpoint. Budha discusses governance as consistency, reliability, and predictability for APIs, and the importance of reframing governance from something that creates friction to something available by design. We explore the cultural shift needed to get stakeholders aligned, the value of maturity models for tracking progress, and the importance of iterative value delivery over big-bang governance projects. Supreet also discusses his new book From Chaos to Connectivity, the API Practitioner's Handbook.

Naftiko Capabilities Podcast for March 11th, 2026 - Deterministic SDK Generation, OpenAPI Overlays, and Better DX with Agent Skills

For this episode of the Naftiko Capabilities podcast we had a conversation with Dániel Kovács from Speakeasy about their newly released agent skills and what they signal for SDKs and developer experience. Daniel discusses how coding agents like Claude and Codex are changing workflows, and how deterministic SDK generation can prevent costly contract mismatches between clients and APIs. Daniel explains agent skills as on-demand context snippets and how Speakeasy uses them for common tasks like getting started with their CLI and improving OpenAPI specs for better SDK outcomes. A key focus is balancing AI-driven, non-deterministic changes with deterministic processes using OpenAPI overlays to refine generated specs, improve method naming, and organize endpoints.

Naftiko Capabilities Podcast for March 3rd, 2026 - AI, Platform Engineering, Guardrails, and the Human Cost

In today's Naftiko Capabilities podcast we sat down with freelance journalist and developer experience expert Jennifer Riggins about the current state of developer experience amid rapid AI adoption. We discussed how AI can improve individual productivity and broaden participation in building technology, while raising concerns about security, missing guardrails, and best practices. We explored platform engineering as a conduit for AI success, the persistence of organizational silos, and the reality that enterprise “swarms of agents” aren’t happening yet due to legacy constraints and unresolved integration and data challenges. This episode also touches on job precarity, unemployment, at-will employment impacts, and implications for junior developers.

Naftiko Capabilities Podcast for February 26th, 2026 - API Experience Meets Agentic AI

As part of recent work on spec-driven development I sat down for conversation with Chris Hood about experience-based API design, arguing that APIs should be expressed in human, business-oriented language rather than CRUD-centric engineering terms to improve contextual understanding. we discuseds why traditional REST approaches may be insufficient for AI and agent-based systems, concerns about introducing new protocols like MCP, and the “agentic API” paradigm for agent-to-agent communication with built-in security and web-embedded protocols. We also explore how AI could help by making APIs more intelligent and contextual, and by incorporating feedback loops where agents and humans report missing skills.

Naftiko Capabilities Podcast for February 19th, 2026 - JSON Structure

In this episode, I sit down with Clemens Vasters, Principal Architect for Messaging and Real-Time Intelligence Services at Microsoft, to talk about JSON Structure — a new spec designed to take on the territory JSON Schema has dominated for years. Clemens shares the origin story behind JSON Structure, why JSON Schema and Avro both fell short for Microsoft's real-time data pipeline needs, and how he built a cleaner, more focused data definition language that keeps the familiar shape developers already know while cutting out the complexity that breaks tooling.