Copilot writes the code. Specky decides what to build.
GitHub Copilot is an excellent AI pair programmer — it autocompletes code, suggests implementations, and speeds up engineering. Specky sits upstream: running user research, synthesising signals, writing the spec, and generating the tickets that Copilot-assisted engineers will implement.
- Sits upstream — decides what to build
- AI researcher runs interviews autonomously
- PRDs with citations from real product signals
- Tickets auto-generated and pushed to Jira/Linear
- 14-day trial
- Industry-leading code completion for engineers
- Copilot Workspace for multi-file code generation
- Strong GitHub integration and PR context
- Widely adopted across engineering teams
- A downstream tool — helps build, not decide
Feature-by-feature breakdown
When to choose each
Choose GitHub Copilot if…
- Your team needs AI-native code completion
- Your primary need is engineering velocity
Choose Specky if…
- You need to make better decisions upstream before the code is written
- You want the PM equivalent of what Copilot gives engineers
- You want AI that knows your customers, signals, and roadmap
GitHub Copilot writes the code. Specky decides what code is worth writing.
GitHub Copilot is the most widely adopted AI coding assistant, and for good reason — it's fast, deeply integrated into the editor, and genuinely speeds up writing and reviewing code. It operates entirely downstream: once a ticket exists, Copilot helps you build it.
Specky operates upstream of that. It ingests your real product signals, runs autonomous user research, and drafts the PRD and tickets that eventually reach GitHub — with the evidence for why that ticket exists cited inline. Copilot has no visibility into whether a feature is worth building in the first place; that decision, and the research behind it, is Specky's job.
The two aren't competitors — they're sequential. Specky decides and specs; Copilot (or any coding agent) builds. Most of Specky's ICP already uses Copilot or a similar tool for the actual coding.
Try the difference now
See what “grounded in evidence” means
Paste one real customer complaint. Watch Specky turn it into a prioritized insight with the exact quote that proves it — no signup. This is the part GitHub Copilotdoesn't do.
Specky vs GitHub Copilot — common questions
Is Specky a competitor to GitHub Copilot?+
No — Copilot helps write code once you know what to build; Specky decides what's worth building and generates the ticket Copilot then implements. They sit at different layers of the same workflow.
Can Specky's tickets be picked up by GitHub Copilot?+
Yes — Specky generates tickets from an approved PRD and can push them to GitHub, where Copilot or Copilot Workspace can pick them up the same as any other issue.
Does Specky do anything with my GitHub repo the way Copilot does?+
Specky ingests GitHub activity (commits, PRs, issues) as one of its signal sources for the Product Graph, but it doesn't read or write code the way Copilot does — different job entirely.
How does pricing compare?+
GitHub Copilot Business is $19/user/mo, Enterprise $39/user/mo. Specky is a separate spend at €99/mo Solo — most teams run both, since they cover different parts of the workflow rather than competing for the same budget line.
Early design partners
See the difference in 5 minutes
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