Traycer helps devs plan-first, code-faster with spec‑driven development. It breaks down high-level intents into structured plans, hands off to your favorite AI agent, then verifies changes so your large codebase stays solid.
Hey Product Hunt! 👋 We’re building Traycer, the spec layer for coding agents.
We built Traycer after watching LLM‑assisted code “work once” and then fall apart in real repos. Traycer plans like a senior engineer, implements with your favorite agent, and verifies changes so you can ship with confidence.
Why we’re building this
Most agentic coding tools jump straight to “code.” That works for small snippets, but in real repos it’s easy to lose context, skip steps, or ship regressions. Traycer separates planning from execution, so your agents stay aligned with what actually needs to happen.
How it works
1. Specification first. You describe the change; Traycer creates phases and a concrete plan (what to touch, why, and in what order).
2. Execute anywhere. Hand off the plan to Cursor, Claude Code, Windsurf—whatever you already use. We don’t replace your agent; we upgrade it with a better spec.
3. Verify & iterate. When the agent proposes changes, Traycer verifies them against the plan, highlights gaps, detects regressions, and suggests corrections. Rinse and repeat until it’s solid.
What this means for you
* Less prompt wrangling, more predictable outcomes.
* Safer changes in large or unfamiliar codebases.
* A clear path from intent -> plan -> diff -> verification.
Who it’s for
Built for developers who want precision and control while harnessing the power of agentic coding.
We keep our roadmap public and would love your feedback. Drop ideas in the comments; we’re around to answer questions and ship improvements. 🚀
I've been using it for several weeks now, and I can confirm this is the current workflow that works for me for vibe coding. Specially for new or big features.
Congrats on the launch! Love the approach of bridging planning and AI-assisted coding, turning specs into executable clarity is exactly what many engineering teams struggle with. The idea of verifying codebase integrity after AI changes is a solid touch. Looking forward to seeing how Traycer evolves.
Traycer’s depth in planning + verification really stands out. Just curious, do you see Traycer eventually evolving into a meta-orchestrator that coordinates multiple agents (Claude, GPT, Cursor) in parallel for different sub-tasks within a single repo?
Traycer helps devs plan-first and code-faster. Less guesswork, more momentum.
Congrats on the launch, this approach makes so much sense. How deep does Traycer’s verification go, static analysis or runtime checks too?
Traycer AI looks like a huge step forward for structured AI-assisted development—spec-driven planning before coding is exactly what many teams need. Do you plan to integrate with IDEs or version control tools for smoother workflows?
Love the plan-first approach! How does Traycer handle complex dependency updates in large codebases?
I love the thought of going heavy on planning and iterating. Once the plan is set can I use Claude Code to execute?
Definitely found that the quality of the plan makes or breaks the implementation!
Finally a layer that brings structure to agent workflows instead of more prompt chaos.
Finally, something that actually keeps agents on track! Separating planning from execution is superb..... my last LLM project broke because it skipped steps. Really curious how Traycer handles complex refactoring?
Congrats on launch! Love the spec-driven workflow idea. Curious how well it scales once multiple devs are editing the same codebase.
This plan-first, code-later approach feels like a game-changer for real codebases. Can’t wait to see how it handles complexity at scale. Wishing you strong traction and tons of feedback from early users!
Very cool. Sounds like a real safeguard for big projects. Does it integrate with GitHub PRs for validation?
"AI code is fast; AI planning makes it deliberate."
It feels like @Traycer AI fixed it and pushed vibe coding to the next level. We're no longer supervisors using coding agents as junior developers, enhancing prompts and fine-tuning outputs. We're now conductors, guiding AI agents that scope, execute, review, and shape production-ready apps.
Hey Product Hunt! 👋 We’re building Traycer, the spec layer for coding agents.
We built Traycer after watching LLM‑assisted code “work once” and then fall apart in real repos. Traycer plans like a senior engineer, implements with your favorite agent, and verifies changes so you can ship with confidence.
Why we’re building this
Most agentic coding tools jump straight to “code.” That works for small snippets, but in real repos it’s easy to lose context, skip steps, or ship regressions. Traycer separates planning from execution, so your agents stay aligned with what actually needs to happen.
How it works
1. Specification first. You describe the change; Traycer creates phases and a concrete plan (what to touch, why, and in what order).
2. Execute anywhere. Hand off the plan to Cursor, Claude Code, Windsurf—whatever you already use. We don’t replace your agent; we upgrade it with a better spec.
3. Verify & iterate. When the agent proposes changes, Traycer verifies them against the plan, highlights gaps, detects regressions, and suggests corrections. Rinse and repeat until it’s solid.
What this means for you
* Less prompt wrangling, more predictable outcomes.
* Safer changes in large or unfamiliar codebases.
* A clear path from intent -> plan -> diff -> verification.
Who it’s for
Built for developers who want precision and control while harnessing the power of agentic coding.
We keep our roadmap public and would love your feedback. Drop ideas in the comments; we’re around to answer questions and ship improvements. 🚀
— The Traycer team