SENIOR ENGINEERING TIME
Team leads keep answering the questions only they can currently answer.
GITMIR ENTERPRISE
The ticket is not
the whole change.
GitMir maps the business logic, dependencies, rules and evidence behind a requested change — so business, team leads, developers and AI agents can see the same system impact before implementation starts.
Understand first. Earn trust. Execute after.
Start with understanding. Production execution comes later.
TODAY
- Business request — “raise the refund limit”
- Jira ticket — “change the limit 500 → 1000”
- Developer questions — fraud? permissions? reporting? invoices?
- Team lead reconstructs the system by hand
- Meetings · code search · documentation
- Implementation
- A hidden dependency turns up
- Rework
WITH GITMIR
- Business request
- Object context — business rules, dependencies, objects, decisions, evidence, tests
- Change impact — what is affected, what is missing, what can conflict, what must stay true
- Shared scope — business, team lead, developer
- Execution
- Verification
Move the context reconstruction in front of the code.
THE COST OF LEAVING IT ALONE
How many senior people does it take
to answer one “simple” question?
“Can we change refund approval?”
- Product
- Team lead
- Payments
- Risk
- Finance
- QA
- Architecture
None of them is being unreasonable. The answer genuinely lives in seven heads, because nothing in the stack holds the product itself. If the organization rebuilds that context for every change, the operating model is the expensive part — not the change.
WHAT TO MEASURE
- people involved
- hours per question
- how often it repeats
- delay while waiting
- rework when it was wrong
That is the number an Enterprise engagement is measured against.
WHERE CONTEXT IS LOST
A developer can implement the ticket correctly —
and still build the wrong change for the system.
In complex production software the change is described in one place, while the logic that decides whether it is correct is spread across everything below. A ticket can be accurate and still incomplete, and the developer is the one who has to reconstruct what the product actually requires. Miss a single dependency there and it comes back later as a bug, a review cycle or a production issue.
- code
- services
- business rules
- Jira · Kanban
- documentation
- earlier decisions
- daily calls
- what the team lead knows
- what the business side knows
GitMir moves that understanding in front of implementation.
WHERE THE TIME GOES TODAY
The team lead becomes the company's context API.
- Business asks for a change
- Ticket created
- Developer finds a missing detail
- Ask the team lead
- Check the documentation
- Ask the business side
- Inspect another service
- Clarify the scope
- Implement
- Review
- Discover another dependency
The expensive part is often not writing the code. It is reconstructing, again, the logic around the code.
REWORK
Incomplete scope is discovered after implementation has already started.
AI RISK
A coding agent executes quickly against the wrong interpretation of the change.
THE FIRST JOB
Before GitMir writes code,
it has to prove it understands the product.
THE FIRST STEP IS NOT
“Give GitMir production access.”
THE FIRST STEP IS
“Can GitMir understand one existing workflow accurately enough that the team lead trusts the model?”
ASK GITMIR
- What does this workflow depend on?
- What else could be affected if we change this?
- Where is this business rule implemented?
- Which states and services are involved?
- What tests should cover this change?
- Which relationships are confirmed, inferred or uncertain?
Trust the model before you trust the execution.
THE PRODUCT MODEL
GitMir turns the system you already run
into an object context.
OBJECTS
- Order
- Payment
- Refund
- Invoice
- Permission
- Report
BUSINESS RULES
- refund limit
- approval requirement
- state transitions
DEPENDENCIES
- depends_on
- affects
- triggers
- governed_by
EVIDENCE
- code
- documentation
- decisions
- tests
CONFIDENCE
- confirmed
- inferred
- stale
- conflicting
Refund #123 ├── governed_by → ApprovalRule #411 ├── affects → Payment #81 ├── changes → Invoice #77 ├── requires → Permission #92 ├── contributes_to → FinanceReport #774 └── validated_by → RefundTests #1555
One shared model of the logic that used to be reconstructed out of several systems and several people's heads.
FROM REQUEST TO VERIFIED CHANGE
One shared interpretation before development starts.
- REQUEST
- UNDERSTAND
- AFFECTED OBJECTS
- HIDDEN DEPENDENCIES
- MISSING DECISIONS
- APPROVED SCOPE
- EXECUTE
- VERIFY
- 01 — UNDERSTANDMap the request against the product that already exists, not against the description of it.
- 02 — SCOPEShow the dependencies, business rules, risks and open decisions the request actually touches.
- 03 — AGREEBusiness and engineering work from the same impact model instead of two readings of one ticket.
- 04 — EXECUTEOnly once the scope is understood, send structured context to the developer or the coding agent.
- 05 — VERIFYCompare what was intended with what was implemented.
The goal is not faster code. The goal is fewer wrong changes.
ONE REAL EXAMPLE
“Raise support refund approval
from €500 to €1,000.”
WHAT THE TICKET SAYS
- Refund limit
- Permission
- Admin UI
WHAT THE MODEL SHOWS
- Refund
- Payment
- Invoice
- Permission
- Fraud policy
- Order state
- Finance reporting
- Audit
- Support workflow
OPEN DECISIONS
- Does the fraud threshold move with it?
- Does the new limit apply after shipment?
- Is a manager role enough, or is finance approval still required?
- What should reporting show for the new path?
The change becomes discussable before it becomes code.
NOTHING TO BUY FIRST
Start from your own audit.
There is no assessment to purchase and no scope to agree before there are numbers. Every step below happens on your side, in the order it is written, and the first four cost nothing.
- 01RUNThe open-source engine, on one developer's machine, against a repository you already have.free
- 02CONNECTThe developers working on the same product, so changes and the shared model accumulate in one place.$19 / developer
- 03AUDITWhat the changes actually cost: first pass, everything after it, and which areas the second clock concentrates in.included
- 04SELECTThe workflow with the most recoverable cost in it — chosen from your numbers, not from our list.free
- 05IMPLEMENTTeam or Enterprise, scoped against the part of that cost we and you agree is recoverable.the paid step
- 06MEASURE AGAINThe same audit, on the same workflow, after the work. Either the second clock fell or it did not.included
We do not ask you to trust autonomous execution first.
We earn the trust by understanding the system first.
THE ONLY PAID STEP IS THE FIFTH · AND IT IS PRICED AGAINST A NUMBER YOU PRODUCED BEFORE WE ARRIVED
WHAT IT HAS TO PROVE
The model is judged on six things,
by the person who already knows the answers.
01 — HIDDEN DEPENDENCIES
Find affected objects the original ticket never mentioned.
02 — BUSINESS LOGIC
Show where the important rules actually live.
03 — MISSING DECISIONS
Name the product questions that have to be resolved before implementation.
04 — VERIFICATION SCOPE
Show what behaviour should be checked after the change.
05 — UNCERTAINTY
Keep confirmed relationships visibly apart from inferred or conflicting ones.
06 — THE TEAM LEAD
The model has to survive comparison with the person who knows the system best.
That is a harder test than watching an agent write code, and it is the one that decides whether anything should be automated on top of the model.
No percentages here on purpose. We do not have your baseline yet, and a figure invented before the audit is worth nothing after it.
WHO FEELS IT
Four people, one change,
four different reasons to care.
Stop being the only person who knows what the change really touches.
WHAT THEY ASK
- What does this workflow depend on?
- What else can this change affect?
- Where is the rule implemented?
- Which teams own the affected areas?
- What should be verified?
- Which part of the model is uncertain?
EXAMPLE — THE SHAPE OF AN ANSWER, NOT A CUSTOMER'S DATA
- CHANGE — raise the refund limit
- Direct impact: 4 objects
- Downstream impact: 7 objects
- Open decisions: 3
- Verification requirements: 6
- Uncertain relationships: 1
OUTCOMELess time reconstructing context, answering the same dependency questions and discovering hidden scope during review.
Test this on your workflowENTERPRISE EXPANSION
The same object context removes
other expensive context loops.
What is changing across the product, and where is the risk?
WHAT IT COSTS TODAY
- Asking five teams what is in flight
- Reading tickets to guess how far a change reaches
- Finding out about the risky one after it shipped
WHAT THE VIEW IS BUILT TO ANSWER
- What is changing across every product right now
- Which changes reach the furthest
- Which business-critical flows they touch
- What shipped without its checks passing
- Where an agent is blocked, and on what
EXAMPLE — THE SHAPE OF AN ANSWER, NOT A CUSTOMER'S DATA
- 12 active changes
- 3 high risk — refund policy · checkout migration · permission model
- 2 blocked — one waiting on an architecture decision, one on finance
- 1 verification failure — invoice state inconsistent after a partial refund
OUTCOMEStatus stops being reconstructed by hand and starts being read off the model.
These views are expansion value. The first trust is earned by proving the model on one real product workflow — everything above happens before any of this is worth building.
AND WHAT THIS IS NOT
A shared platform, extended — not bespoke software.
SHARED GITMIR PLATFORM
- Adapters
- Views
- Skills
YOUR IMPLEMENTATION
Every implementation uses the same object context, adapters, skills and verification model. We adapt those to your product and your workflow rather than building a disconnected system from scratch — which is the difference between this and a consultancy that leaves you holding something only it can maintain.
START HERE
Give us one workflow your team lead knows
better than the documentation.
We start by testing whether GitMir can understand it: dependencies, business rules, impact and verification. If the model is not useful, there is no reason to automate anything on top of it.