RoboCoder
Turn specs into code with GPT-4 Turbo; RoboCoder makes programming easier. We integrated GPT-4 Turbo with VS Code’s APIs, to allow it to open and edit files. Get a studio-quality maternity photoshoot by taking a few selfies at home, thanks to a powerful image-generating AI. Collaborate with ChatGPT on a plan, then tell it to "get to work." GPT-4 is smart enough to open files, navigate your codebase, and propose a patch using VS Code's diff tool.
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Balsamiq
Balsamiq is the wireframing tool that helps lean product teams turn early ideas into clear, actionable direction—fast. And you don't need to be a designer to use it. Tens of thousands of product managers, founders, and engineers worldwide rely on Balsamiq to share concepts quickly, reduce rework, and build better products.
- Turn rough ideas into actionable plans, specs, and requirements.
- No more waiting for design mockups or wasting time on bloated tools.
- Align your team before you commit to code (or worse, a bad idea).
- Add visuals to your prompts and get better results with AI.
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Rezonant
Rezonant turns product vision into engineering-ready work by capturing product intent and carrying it all the way through tasks, agents, and shipped code. It acts as the layer between what a team wants to build and what gets deployed, understanding the product, codebase, and context, then orchestrating AI agents to ship work that is correct and aligned with what the team intended. Rezonant helps teams decide what to build, break it down, and translate PRDs, feedback, UX issues, and prototypes into structured implementation work. Its ticket generation creates context-rich tasks that can be pushed directly to Jira or Linear, giving coding agents the technical detail they need to execute. Rezonant Alter, its Chrome extension, lets users point at what they want to change on a live product, record spoken feedback, select UI elements, describe changes in plain English, and turn everything shown on screen into specs or focused tickets grounded in the real architecture.
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Prelint
It’s a non-negotiable that shipped code matches product specs, not just that it passes code review. When AI agents move autonomously and fast, code drifts from specs, business rules, and compliance expectations. That drift shows up as rework, missed deadlines, and features that technically work, but break how the product should behave.
prelint reduces that drift. It synthesises your specs, tickets, emails, call transcripts, and meeting notes into a product knowledge graph and checks every pull request against those decisions before it merges, so you see which changes quietly contradict the spec while there is still time to adjust. You spend less time re‑opening tickets, fixing last minute issues, or rolling back work that should never have shipped.
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