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 Claude Code or GitHub Copilot needs.

Ticket → Context → Prompt

Jira issue: "Refactor order assignment flow"

Touchdown analysis
- Finds impacted services and tests
- Highlights uncertain acceptance criteria
- Drafts a prompt ready for Claude Code or GitHub Copilot

Suggested prompt
"Update order assignment to handle split shipments,
preserve existing retry logic, and add regression tests
for delayed warehouse responses."

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.

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 Claude Code or GitHub Copilot

Touchdown packages requirements, constraints, and relevant code context into prompts that help Claude Code or GitHub 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 Claude Code or GitHub Copilot and your current branch context.

Ready to try it

Install Touchdown and start landing tickets cleanly.

Go to Download