Insights
The age of AI coding subscriptions is ending. Not because companies want it to, but because the economics force it. When you can arbitrage a subscription in a commodity market, the market will take full advantage. Direct usage-based pricing is the only market-efficient outcome.
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Test Kimi K2, the open-source model achieving 65.8% on SWE-bench. Available now in Cline.
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Why hitting the reset button will actually save you time instead of fighting an upstream context current.
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Tap into your existing Claude Max or Pro subscription to use Cline without paying per-message pricing.
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Here's a common question we get from prospective Cline users: "How does Cline handle large codebases? Do you use RAG to index everything?" It's a reasonable question. Retrieval Augmented Generation (RAG) has become the go-to solution for giving AI systems access to large
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AI companies are operating in arguably the most hotly contested market in human history. Earth shattering venture rounds incenting and empowering the brightest minds in the world in a winner take most (if not all!) race to the singularity. Amidst this battlefield, I find my thoughts returning to a little
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Ever wondered why a simple "Hi" to Cline might seem to use more resources than expected? Or perhaps you've noticed performance subtly changing during a long coding session? The answer often lies in a crucial, yet sometimes misunderstood, concept: the context window. Understanding it is key
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Since SICP, it's been a maxim of software engineering that "Programs must be written for people to read, and only incidentally for machines to execute." However, in the age of generative AI, code is increasingly often read by agents as well. As generative AI tools become
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Effective context management is the backbone of productive collaboration with AI coding assistants. As conversations with Cline evolve and become ever more complex, determining how to handle the persistent issue of limited room in the context window becomes increasingly more important – as well as ensuring narrative integrity is maintained during
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The developer community has been buzzing about the possibilities unlocked by the Model Context Protocol (MCP), and few examples have captured the imagination quite like Siddharth Ahuja's MCP servers for Ableton Live and Blender. These notoriously complex creative powerhouses, suddenly accessible through natural language prompts via tools like
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Picture this: Your senior engineers spending most of their time on high-level architecture instead of debugging nested loops. Your new hires becoming productive in days instead of months. Your entire team shipping more code with fewer bugs while actually leaving work feeling energized instead of burnt out. Sound like
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Last week, we spoke with a San Francisco-based startup that estimated Cline had boosted their engineering output fivefold. While startups tend to adopt new technologies more quickly, we're still in the early days of AI-powered coding. This "5x" increase offers a glimpse into what