Your product can get bigger. Your release cycle should not
Help your coding agent understand the product you already built, so more of your time and AI budget goes into the next finished feature.
Every new feature comes with a discovery bill
A change looks simple: add team accounts, introduce a paid tier, or let a customer cancel an order. Your agent starts tracing routes, permissions, data models, background jobs, and tests. The business logic is spread throughout the codebase, so it has to assemble the relevant picture before it can act.
Your agent reconstructs that understanding again for the next task. When it misses a relationship, you pay for another attempt — and spend your own time finding out what broke.
Give the next task a better starting point
GitMir provides current product intelligence that your coding agent can use through MCP. It receives compact context relevant to the work: the behavior, rules, and connections it needs to account for.
You can inspect the product and its business logic visually. When a feature changes, you can understand the affected behavior without personally tracing every implementation path. The goal is a task that reaches acceptance with fewer searches, fewer corrections, and less founder intervention.
Put it to work on a real feature
Example: add paid workspaces to an existing SaaS. The work spans membership, roles, billing, usage limits, and access after cancellation. Use product intelligence to establish the connected rules, let your coding agent implement the change, and inspect the resulting behavior alongside the tests and checks your product requires.
The same approach applies to onboarding changes, referral programs, account recovery, and permission updates: ordinary features that become expensive when connections are overlooked.
Illustrative example — not a customer project
Change: Add paid workspaces to an existing SaaS
- Workspace billing — new
- Usage limits — changed: seats and usage by paid tier
- Access after cancellation — new
- Membership and roles — affected
- Acceptance checks — added
What you check before accepting it
- The rule that changes
- Usage limits: one limit for every account becomes limits by paid tier.
- New
- Workspace billing and the access members keep after cancellation.
- Connected paths
- Membership and roles decide who can upgrade, invite and keep access.
- Checks before acceptance
- Roles, limits and cancellation are covered by the tests and checks your product requires.
Visual inspection complements code checks and regression testing; it does not prove every untouched screen is correct.
Measure features finished, not code generated
Compare a representative set of tasks with and without GitMir. Track time to an accepted result, AI spend, correction rounds, and your own intervention time. Keep the acceptance criteria the same.
Illustrative economics
Modelled target
Recovering six founder hours per month is worth $450 at a chosen internal value of $75/hour. That is recovered capacity, not automatic cash savings. Add any measured reduction in AI costs and subtract GitMir costs to assess the actual benefit.
Assumptions
- 6 founder hours recovered per month
- $75 per hour — an internal value you choose
- AI cost changes and GitMir costs are not included
Evidence and its limits
Connect your product
Put your next feature through GitMir. See how much work reaches acceptance on the first pass.