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
Cline is already transforming how developers approach complex coding tasks, acting as an autonomous agent within your IDE. But what if you could push its capabilities even further? What if Cline could not only write and refactor code but also conduct deep web research, generate UI components on the fly,
Here's what's new in 3.8.0: * Streamlined workflows: New 'Add to Cline' and 'Fix with Cline' code actions for faster problem-solving * Account view: Track billing and usage history for Cline accounts directly in the extension * Sort underlying provider routing: Choose how
From the jump, we've envisioned a bolder path forward in AI coding. While others perfect tab autocomplete, we've been building a truly collaborative coding agent that transforms how software gets created. From day one, we've given engineers full, unrestricted access to frontier models—exactly
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 fantasy?
Frontend development has always been a careful balance between creativity and tedium. For every exciting UX innovation you bring to life, there are dozens of navbar implementations, form components, and card layouts to build along the way. The repetitive nature of these tasks is a productivity killer—until now. By
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 could be
Have you seen those viral videos of people creating stunning 3D scenes in Blender by just describing what they want? No clicking through complex menus, no hunting for the right tool in a sea of options, no watching 10-hour YouTube tutorials. Just conversation. 0:00 /0:20 1× This isn&
In the fast-paced world of sports analytics, where deadlines are dictated by game schedules and championships, engineering teams face unique challenges. For Cleat Street, a fast-growing sports analytics company launched in 2019 out of a startup lab at Columbia University, the pressure to deliver quality code with a small team
When a senior developer tells you they spent $125 on API credits in a single day but produced 35,000 lines of functional code, is that expensive or a bargain? This question gets to the heart of how we should think about AI coding agents. While the sticker shock of
I've been using Cline since it was released, and it's completely transformed how I approach building software. As Cline's product marketer, I've had the privilege of seeing this tool evolve, but what's more exciting is how it's evolved
The emergence of Model Context Protocol (MCP) has created something we rarely see in technology: a genuinely new market with minimal established players and tremendous growth potential. As AI agents like Cline become increasingly central to developer workflows, MCP plugins represent not just a technical opportunity, but a significant business