Specs aren’t just documentation
anymore.
Spectagon brings peer review to the specs your agents build from.
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} Specs belong in the code.
We’ve said “docs should live with the code” for decades. But collaboration tools like Google Docs and Notion were easier to review in — so that’s where specs ended up.
Now there’s a stronger reason than ever to keep them in the repo. Agents build from specs, and specs in the repo give them the context they need. When the spec is what actually gets built, it stays current — not forgotten in a wiki.
The only thing missing is a good way to collaborate on them. That’s what Spectagon is for.
GitHub wasn’t built for reviewing prose.
GitHub’s review experience was built for code — diffs, line numbers, side-by-side views.
So you paste the spec into Notion or Google Docs for review — and the two versions drift out of sync immediately.
Spectagon is a peer review tool
for technical specs.
Structured feedback, inline comments, and clear approvals — all connected to your existing workflow.
Feedback that follows your rewrites.
When you revise a section — by hand or with an agent — comments intelligently re‑anchor to the content they’re about.
A lens on your GitHub PR.
Spectagon reads your markdown through the GitHub API and adds a review layer on top. The link gets posted right on your PR.
Comments & suggestions.
Inline comments, threaded discussions, and suggest mode — propose specific text edits that authors accept with one click.
Rendered for reading.
Mermaid diagrams, syntax-highlighted code blocks, clean typography. Your markdown looks like a published document, not a raw file.
Approval flow.
Approve, merge, and track review status without leaving Spectagon. Status check posted to your PR.
Nothing to migrate.
Spectagon is a read-only lens. If you stop using it, your documents are exactly where they always were, with all review activity preserved on the PR.
The spec is where humans shape the outcome.
With Spec-Driven Development, agents implement the spec literally — every ambiguity, overlooked edge case, and gap gets faithfully reproduced.
There are great tools for AI-assisted review. Spectagon is for the human review that happens before the agent starts building.
This latency estimate seems low — our p99 is already at 22s under current load.
Good catch. I'll add the load model.
Let's make this concrete. If we want the agent to handle the various edge cases, we should spell them out here.