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Traycer.ai
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Based on our record, GitHub seems to be a lot more popular than Traycer.ai. While we know about 2463 links to GitHub, we've tracked only 4 mentions of Traycer.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this case, I built the same MCP mind-mapping app twice: once with Traycer, once with Kiro. Both are spec-driven development tools (a term I will explain in a second). - Source: dev.to / 3 months ago
At TraycerAI we reduced hallucinations, code slop generation and solved agent's drift. Finally you can ship complex features, end to end products with world's first AI product planner. - Source: dev.to / 5 months ago
But my friends are obsessed with Traycer because of their features like EPIC mode which is highly intuitive. - Source: dev.to / 6 months ago
Cool stuff! This looks quite similar to https://traycer.ai/ I think there's probably a lot of value to be gained in tooling for coding agents that codify and enhance the describe -> plan -> refine -> implement -> verify cycle. With most popular tools (cursor, claude code, roo, augment, windsurf, etc) you have to do this workflow "manually" usually by having the model write out .md files, it isn't super smooth. - Source: Hacker News / 10 months ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 1 day ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 1 day ago
## Tell Git to start tracking your project Git init ## Take a snapshot of all your current files Git add . ## Save this snapshot with a description Git commit -m "Initial commit from AI tool" ## Connect your local project to GitHub ## Get repository URL from your GitHub page ## it looks like https://github.com/your-name/your-repo.git Git remote add origin PASTE_YOUR_URL_HERE ## Upload your code to GitHub Git... - Source: dev.to / 11 days ago
Conclusion Next time Git insists a private repository doesn't exist, skip editing your config file and head straight to the Windows Credential Manager. Wiping out the stale git:https://github.com entry forces a clean handshake, getting you back to coding in less than a minute. - Source: dev.to / 12 days ago
Gitea is where all private repositories live: infra configs, personal projects, anything I don't want on a third-party server. Public projects still go to GitHub because that's where the audience is, but a number of those GitHub repositories are mirrored back to Gitea as a local backup. The split is simple: Gitea for control and resilience, GitHub for reach. - Source: dev.to / 13 days ago
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
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