Kosuke

Everyone contributes. Engineers stay in control.

@marcrandolph The teams that win in 2026 are the ones who stopped waiting for perfect in 2024. Ship broken-then iterate in public while everyone else is still planning their launch strategy.

You don’t need a better idea. You don’t need more funding. You don’t need to wait until it’s ready. You just need to be willing to ship something embarrassing.

@rxhit05 The bottleneck was never writing code-it was knowing WHAT to build and WHY. If Claude can replicate your entire product vision and architectural decisions, you never had technical insight in the first place.

Can you call yourself a technical founder if a non-technical person with Claude could build the same thing?

@rohanpaul_ai The dev tools aren't the moat-it's who controls the review layer. @AnthropicAI can buy every IDE integration but if they don't own the trust loop between AI output and engineer approval, they're just renting shelf space in someone else's workflow.

This is the real platform play by Anthropic. They are going shopping aggressively for dev tools. Buying dev tool startups is the natural move if you want to turn Claude into the house brain for entire engineering orgs. There's a race to own the coding stack where the cash actually shows up.

@shushant_l The real bottleneck isn't writing code anymore-it's waiting for engineers to review the 47 AI-generated PRs your PM just shipped. These tools solve the wrong problem.

10 best AI tools for development: 1. Cursor: AI-powered code editor (IDE) that lets developers write, edit, and understand code using natural language with real-time AI assistance 🔗 cursor.com 2. Claude Code: AI-powered, agentic coding tool by Anthropic that can read your codebase, edit files, run commands, and autonomously build or fix software using natural language instructions. 🔗 claude.com/product/claude… 3. OpenAI Codex: Cloud-based AI coding agent that can autonomously write, edit, and debug code, run tests, and complete software development tasks from natural language instructions. 🔗 openai.com/codex/ 4. Rocket: AI-powered platform that lets you build and launch full-stack web and mobile apps from simple natural language prompts, without coding. 🔗 rocket.new 5. Lovable: AI-powered platform that lets you build and launch full-stack web and mobile apps from simple natural language prompts, without coding. 🔗 lovable.dev 6. Replit: AI agent powered development platform that lets you build, edit, and deploy full applications from natural language prompts with an integrated AI coding assistant. 🔗 replit.com 7. v0 by Vercel: AI-powered development tool that generates production-ready UI and full-stack web apps from natural language prompts and helps you build, iterate, and deploy them instantly. 🔗 v0.app 8. Github Copilot: AI-powered coding assistant that acts as a “pair programmer,” generating code suggestions, completing functions, and helping developers write and understand code faster directly inside their editor. 🔗 github.com/features/copil… 9. Windsurf: AI-native, agentic coding IDE that understands your entire codebase and can autonomously write, edit, debug, and run code from natural language instructions. 🔗 windsurf.com 10. Tabnine: AI-powered coding assistant that provides real-time code completions, suggestions, and development help inside IDEs while keeping code private and secure. 🔗 tabnine.com

Code is free now but software is still expensive LLMs commoditized code generation, you can get working code for almost anything in seconds without knowing what a terminal is And yet engineering is still the ceiling for almost every company. Product backlogs are still 6-12 months deep, teams are bottlenecked on dev capacity Code got cheap but software didn't, because the expensive part was never writing the code, it was getting the right people aligned, running clean environments, reviewing changes and deploying. That's all still broken rn Cursor won not only because it had a better model, it won because the interaction was native to how developers already work. The model was a commodity, the workflow wasn't Whatever wins the next wave is going to be built around the same insight, the model layer is table stakes, the real product is everything that makes the output trustworthy enough to ship

We're building @kosuke_vibe with design partners. Non-technical team members describe changes in plain English. AI writes the code. Engineers review every PR. No one skips the SDLC. You get early access, white-glove onboarding, and a seat at the roadmap table. DM me or grab early access → kosuke.ai

Working on integrating @supabase into @kosuke_vibe. Not everyone is moving to all-in-one infra, and Supabase is still widely used. We want to make sure it works smoothly with Kosuke.

@Priya_Upadhyay_ If you wanna iterate on an existing product while keeping SDLC best practices there is @kosuke_vibe 👀

@fabiart Vamos, great to hear that. Keep pushing. That’s exactly our vision in @kosuke_vibe. And we’ll also have design builders personas as we strongly believe that every builder should partecipate with their own skillsets and collaborate.

Everyone's fighting over which coding agent is best. Claude Code, Cursor, Codex, OpenCode. Meanwhile, your PM still can't touch the codebase. @kosuke_vibe fixes that.

> Developer giving all his company private data to Claude code to center a div

when the whole team is on claude code

Most product teams don't have an engineering bottleneck, they have a communication bottleneck The idea is clear, the ticket is written on Jira/Linear, but it still sits in a backlog for weeks waiting for a developer to have a free sprint Kosuke removes the wait by splitting the work between who knows what to build and who knows how to ship it Step 1: Import Your Codebase The tech team connects your repo once. Kosuke learns your architecture, your patterns, your stack Step 2: Build a New Feature The product team describes what they need in plain English. Kosuke writes the code that fits your existing structure Step 3: Test and Confirm The product team reviews the implementation directly in the interface. If it works, they approve. If not, they iterate without opening a ticket Step 4: Go to Production The tech team gets a clean PR to review and merge. No debugging requests written at 11pm. No can you just change this one button color interruptions. Engineers stay in control. Product teams stop waiting. 190+ people on the waitlist, link in the comments below for early acces #DevTools #DeveloperProductivity #ClaudeCode #TechStartup

Meet the team behind Kosuke We started with a simple observation: engineering time is a company's most valuable asset, yet developers spend way too much of it stuck in Jira/Linear backlogs, handling padding tweaks and trivial copy changes. We are building Kosuke to fix exactly that. Kosuke turns plain-English requests from PMs, marketers, and designers directly into ready-to-merge PRs. The AI writes the code that fits your architecture, while engineers maintain absolute control, reviewing and merging without the busywork. Building a platform that genuinely understands your codebase and workflows requires a deep mix of tech, AI, product, and GTM expertise. We’re opening early access to Kosuke for a few more teams, link in the comment 👇 hashtag#DevTools hashtag#DeveloperProductivity hashtag#ArtificialIntelligence hashtag#TechStartup

Software engineering makes up ~50% of agentic tool calls on our API, but we see emerging use in other industries. As the frontier of risk and autonomy expands, post-deployment monitoring becomes essential. We encourage other model developers to extend this research.

Cursor is for developers. Lovable is for non-technical people starting from scratch. Kosuke is for non-technical people contributing to existing products. Turn ideas into pull requests without writing code. Same codebase. Same workflow. New contributors.

I moved from @cursor_ai to @claudeai in a few weeks. Not hype. Not loyalty. Just value. Switching costs in AI are basically zero. Tools, pricing, quality. One small shift and people migrate again. Next move could be @opencode with GLM-5.

@kosuke_vibe can now import mobile apps built with @reactnative and @FlutterDev. Non-technical teammates can ship alongside your technical team. AI-native workflows, same codebase, more productivity. We will ALL be builders. DM me if you want to speed up your mobile product.

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