Clarify
Turn vague tickets into concrete tasks
Touchdown reads the Jira story against your local project context and surfaces missing assumptions, hidden dependencies, and likely edge cases before you start coding.
AI pair-programming for ticket triage
Soft landings for rough Jira tickets.
Touchdown brings your local code context into the story so you can clarify vague requirements, preview code impact, and generate the exact prompt your Copilot needs.
Ticket → Context → Prompt
Jira issue: "Refactor order assignment flow"
Touchdown analysis
- Finds impacted services and tests
- Highlights uncertain acceptance criteria
- Drafts a Copilot-ready prompt
Suggested prompt
"Update order assignment to handle split shipments,
preserve existing retry logic, and add regression tests
for delayed warehouse responses."Preview
See likely code impact before editing
It maps the story to nearby files, call paths, and test surfaces so you can estimate the blast radius and avoid accidental regressions.
Prepare
Generate sharper prompts for Copilot
Touchdown packages requirements, constraints, and relevant code context into prompts that help Copilot produce more usable first passes.
Why teams use it
Less time decoding tickets. More time shipping.
01
Open the Jira ticket
Touchdown reads the story and compares it with your checked-out codebase.
02
Inspect impact
Review suggested files, dependencies, risky areas, and missing acceptance details.
03
Launch implementation
Start with a refined prompt tailored for GitHub Copilot and your current branch context.
Ready to try it