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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.
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At ContentCon, I realised building tools for yourself still feels unfamiliar to many developers.
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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.
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How the new MCP Skills Extension works, from skill discovery and on-demand loading to content verification, workflow guidance, and managed profiles.
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This article argues that a single, monolithic MCP server per platform is the wrong abstraction, especially for complex systems like Contentstack.
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Introducing MCP Profile Hub.
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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.
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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.”
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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.
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This article argues that AI security risks extend far beyond model jailbreaks and prompt engineering, into every piece of text an AI can read.
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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.
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Two free skills can strip the AI tells out of your writing in seconds.
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AI coding agents are not a threat to developer jobs, they are a fundamental shift in the economics of software creation.
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The interesting story about Cursor is not which base model it uses, but how deeply it sits inside real software development workflows.
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Contentstack just made Agent OS generally available, renamed the platform to AXP, and shipped a pile of developer tooling.
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AI workflows sit on a spectrum, from a single LLM-assisted task to a fully autonomous agent.
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We exposed Contentstack MCP tool definitions through a server endpoint as JSON.
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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.
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Supply-chain attacks like Mini Shai-Hulud will make teams distrust third-party packages.
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When folks think they're failing at AI coding, they're usually failing at their laptop.
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Most developers overconfigure their machines and pay for it in ways they don't notice.
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The AI builds what you describe, not what you need in production.
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Vibe coding has made it trivially easy to spin up apps that collect user data, handle logins, and store sensitive information.
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CMS migrations fail not because of the new platform but because nobody cleaned up the mess before packing it into boxes.
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This article argues that generic SaaS dashboards are a legacy compromise from a time when custom software was expensive and slow to build.
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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.
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This article explores how AI changes the balance between research-heavy processes and intuition-driven building, especially in product and technical work.
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Coding is largely solved.
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I gave OpenAI Codex a management token, an API key, some YouTube IDs, and my Contentstack TypeScript schema.
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After twenty years of engineering, I accidentally ended up running multiple product lines.
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AI coding tools have removed the old excuse that test driven development is too slow or too costly.
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This article explores how AI has radically reduced the cost of producing things, creating an intoxicating sense of limitless output for ambitious people.
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For the last year, the dominant narrative has been that AI will replace developers.
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With good APIs and OpenAPI specs, AI agents can generate production-ready clients in seconds.
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When the market stops buying, vanity metrics stop mattering.
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Developer teams migrating from legacy to modern architecture often bring old habits that become technical debt.
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AI agents are extremely capable coding assistants, but they are not magical autonomous engineers.
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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.
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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.
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I released my Cursor rules and commands as a public repo because Cursor is not magic, it is leverage.
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AI exposes which platforms were truly built API first and which ones only marketed it.
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Many brands think they're digitally mature, yet their experience operations are fragmented.
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The 2022 diagnosis was right.
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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.
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TL;DR Don't over-engineer standards around protocols.
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AI is dissolving silos and creating a new kind of product person who thinks like a system, connects disciplines, and prototypes ideas before lunch.
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The CMS is evolving from static publishing to dynamic context management, where AI agents adapt every experience in real time.
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MCP servers shouldn't just expose endpoints, they should adapt to their environment, using project context to guide AI reasoning and execution.
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A firsthand look at how AI-driven chat interfaces could reshape SaaS and user interaction.
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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.