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  1. Cursor's $60 Pro+ plan is now a legacy subscription, replaced by a $100 Super plan that bundles Grok and bills Claude, GPT, and Gemini at API rates from the first request.

  2. At ContentCon, I realised building tools for yourself still feels unfamiliar to many developers.

  3. This article explores an unexpected result from evaluating Contentstack’s MCP Profile Hub, where increasing a model’s reasoning effort made straightforward CMS agent tasks slower and less reliable.

  4. How the new MCP Skills Extension works, from skill discovery and on-demand loading to content verification, workflow guidance, and managed profiles.

  5. This article argues that a single, monolithic MCP server per platform is the wrong abstraction, especially for complex systems like Contentstack.

  6. Introducing MCP Profile Hub.

  7. Claude Desktop currently launches duplicate local MCP stdio servers for a single configuration, causing two independent OAuth flows, extra browser tabs, and unnecessary resource usage.

  8. AI makes it tempting to cancel SaaS tools and prompt your own internal platforms into existence, but that often creates brittle systems that are “a mile wide and an inch deep.”

  9. This article argues that AI is collapsing the distance between vision and execution, ushering in a Doer Economy where the primary winners are those who can both imagine and build.

  10. This article argues that AI security risks extend far beyond model jailbreaks and prompt engineering, into every piece of text an AI can read.

  11. This article argues that the real risk of corporate AI is not rogue superintelligence but how large organizations deploy it, usually in service of cost-cutting rather than creating new value.

  12. Two free skills can strip the AI tells out of your writing in seconds.

  13. AI coding agents are not a threat to developer jobs, they are a fundamental shift in the economics of software creation.

  14. Cursor's moat

    The interesting story about Cursor is not which base model it uses, but how deeply it sits inside real software development workflows.

  15. Contentstack just made Agent OS generally available, renamed the platform to AXP, and shipped a pile of developer tooling.

  16. AI workflows sit on a spectrum, from a single LLM-assisted task to a fully autonomous agent.

  17. We exposed Contentstack MCP tool definitions through a server endpoint as JSON.

  18. Enterprise AI is spreading into every tool where work happens, from IDE agents to browser assistants, but governance, spend control, and brand safety are lagging behind.

  19. Supply-chain attacks like Mini Shai-Hulud will make teams distrust third-party packages.

  20. When folks think they're failing at AI coding, they're usually failing at their laptop.

  21. Most developers overconfigure their machines and pay for it in ways they don't notice.

  22. The AI builds what you describe, not what you need in production.

  23. Vibe coding has made it trivially easy to spin up apps that collect user data, handle logins, and store sensitive information.

  24. CMS migrations fail not because of the new platform but because nobody cleaned up the mess before packing it into boxes.

  25. This article argues that generic SaaS dashboards are a legacy compromise from a time when custom software was expensive and slow to build.

  26. In 2013 I built the Need for Speed Rivals launch site from scratch in five weeks - custom router, custom state, custom tweening engine, 35 languages, no framework worth mentioning.

  27. This article explores how AI changes the balance between research-heavy processes and intuition-driven building, especially in product and technical work.

  28. Coding is largely solved.

  29. I gave OpenAI Codex a management token, an API key, some YouTube IDs, and my Contentstack TypeScript schema.

  30. After twenty years of engineering, I accidentally ended up running multiple product lines.

  31. TDD finally makes sense

    AI coding tools have removed the old excuse that test driven development is too slow or too costly.

  32. This article explores how AI has radically reduced the cost of producing things, creating an intoxicating sense of limitless output for ambitious people.

  33. For the last year, the dominant narrative has been that AI will replace developers.

  34. With good APIs and OpenAPI specs, AI agents can generate production-ready clients in seconds.

  35. When the market stops buying, vanity metrics stop mattering.

  36. Developer teams migrating from legacy to modern architecture often bring old habits that become technical debt.

  37. AI agents are extremely capable coding assistants, but they are not magical autonomous engineers.

  38. The promise of AI-powered development is seductive, but here's the reality check nobody's talking about - the better you understand code, the better your AI-generated results will be.

  39. The Model Context Protocol (MCP) was supposed to be a universal way to connect AI models to tools, but in practice it is fragmenting fast across vendors and implementations.

  40. I released my Cursor rules and commands as a public repo because Cursor is not magic, it is leverage.

  41. AI exposes which platforms were truly built API first and which ones only marketed it.

  42. Many brands think they're digitally mature, yet their experience operations are fragmented.

  43. The 2022 diagnosis was right.

  44. Developer Relations is most effective when treated not as marketing, not as community management, and not as evangelism, but as a disciplined operating system for improving the developer journey.

  45. TL;DR Don't over-engineer standards around protocols.

  46. AI is dissolving silos and creating a new kind of product person who thinks like a system, connects disciplines, and prototypes ideas before lunch.

  47. The CMS is evolving from static publishing to dynamic context management, where AI agents adapt every experience in real time.

  48. MCP servers shouldn't just expose endpoints, they should adapt to their environment, using project context to guide AI reasoning and execution.

  49. A firsthand look at how AI-driven chat interfaces could reshape SaaS and user interaction.

  50. AI's impact on the tech industry is more nuanced than often claimed, offering modest productivity improvements while blurring role specializations and fostering a more versatile, holistic approach to development.