Midi Coder

Initializing Contract Coding pipeline...

AI creates contracts.
The system generates code.

Contract Coding

The contract is the single source of truth. Code is generated consistently and remains fully controllable.

Contract Coding is not just AI coding. It is a software development approach where the contract serves as the source of truth, every change starts from the contract, then gets compiled into code that is reproducible and traceable.

Try Midi Coder What is Contract Coding?
Midi starting with Contract Coding

What is Contract Coding?

Contract Coding is an AI-assisted software development approach where the contract acts as a structured specification layer between requirements and source code. Instead of letting AI modify the codebase directly, all change go through the contract — where they are controlled, compiled, and turned into code through a consistent pipeline.

This approach makes AI-driven development easier to review, easier to trace, and more stable, especially as systems grow in complexity, with more modules, rules, and contributors involved.

Learn more about Contract Coding →

~70%

About 70% fewer tokens compared to direct AI coding

~90%

About 90% fewer prompt-edit-run iterations

Consistent output

Remains stable even as systems grow in complexity

Single source of truth

All changes are anchored to the contract, making them easy to review and trace

Compare Contract Coding vs AI coding

Vibe Coding Contract Coding

The difference lies in where changes originate, how they enter the codebase, and how well they remain controlled as the system scales.

Criteria Vibe Coding Contract Coding
Source of control Prompt + direct code edits Contract as the single source of truth
Change flow Prompt -> direct changes in the codebase Contract -> IR -> compiler -> code (through a controlled pipeline)
Repeatability Depends on prompts, results vary across runs Stable output when contract and pipeline remain unchanged
Traceability Hard to trace back to original intent Fully traceable through contract, version, and related rules
Understand the difference →
When prompt becomes the primary source of control

Why does AI coding break down in real projects?

These issues appear early when prompt and direct code edits become the center of the workflow.

Typical workflow
01 Loss of source of truth

Original intent becomes fragmented

When changes start from prompts and scattered manual edits across multiple files, teams gradually lose clarity on which rules should persist over time.

02 Broken module boundaries

System structure drifts away from design

When editing code directly, AI can easily cross module boundaries, causing the system architecture to drift away from its original design.

03 Loss of traceability

No longer clear why changes happened

Pull requests may still work, but teams struggle to understand why changes were made, what decisions led to them, and what impact they have.

See how Contract Coding solves these problems

How doesContract Codingwork?

Every change starts from a clear description of system behavior, is standardized into a contract, and goes through a compilation pipeline before entering the codebase

Explore how the pipeline works →
1

Define requirements and intent

AI, developer, or teams describe system behavior clearly — including the requirements, rules, and intended outcome.

2

Convert into Contract (control layer)

Midi Coder transforms this description into a structured contract — serving as the primary control layer of the system.

3

Compile into reproducible code

The contract goes through a compilation pipeline to generate consistent, repeatable, and controlled code.

4

Apply to the codebase (no manual edits)

Code is applied to the codebase through the pipeline, instead of being manually edited file by file by AI.

What does a contract include?

A real contract typically consists of multiple files, layers, and related artifacts.

contract.workspace
01routes:
02 - method: POST
03 path: /api/v1/matches
04 command: CreateMatch
05 description: Create a new match and enter matchmaking queue
06 auth: jwt
07 request_schema:
08 - name: user_id
09 type: string
10 required: true
11 response_schema:
12 - name: match_id
13 type: string
14 required: true
15 tags:
16 - matchmaking
17 - method: POST
18 path: /api/v1/matches/{id}/move
19 command: MakeMove
20 description: Make a move in an active match
21 auth: jwt
22 request_schema:
23 - name: move
24 type: string
25 required: true
26 description: Chess move notation
27 response_schema:
28 - name: game_state
29 type: json
30 required: true
31 description: Updated game state after move
32 tags:
33 - gameplay
34 - method: POST
35 path: /api/v1/matches/{id}/resign
36 command: ResignMatch
37 description: Resign from current match
38 auth: jwt
39 request_schema:
40 - name: user_id
41 type: string
42 required: true
43 response_schema:
44 - name: result
45 type: string
46 required: true
47 tags:
48 - gameplay
49 - method: GET
50 path: /api/v1/matches/{id}
51 query: GetMatch
52 description: Get match details by ID
53 auth: jwt
54 response_schema:
55 - name: match_id
56 type: string
57 required: true
58 - name: player_white
59 type: string
60 required: true
61 - name: player_black
62 type: string
63 required: true
64 - name: status
65 type: string
66 required: true
67 - name: result
68 type: string
69 required: false
70 tags:
71 - matches
72 - method: GET
73 path: /api/v1/users/{user_id}/matches
74 query: GetUserMatches
75 description: Get all matches for a user
76 auth: jwt
77 response_schema:
78 - name: matches
79 type: list<json>
80 required: true
81 tags:
82 - matches
Explore the contract structure →

What changes when you use Contract Coding?

01

A single source of truth

The contract becomes the place where requirements, rules, and structure are unified — instead of being fragmented across prompts, scattered documents, and manual code edits.

02

Consistent code across every run

The same contract and pipeline always produce the same result, reducing drift across iterations and deployments.

03

Clear review and traceability

Every change can be traced back to the contract, version, and related decisions, not just the final code diff.

04

The codebase stays under control

Contract-managed parts are not manually edited, helping prevent structural drift and keeping the system stable over time.

Explore all benefits →

When should you use Contract Coding?

Contract Coding works best when the system has clear rules, repeated patterns, and require consistent output over time.

Backend / API

APIs and backends that need standardized generation

Ideal when teams need to generate multiple endpoints, DTOs, validations, services, and structures following the same pattern.

Multi-step workflows

Workflows with clear steps and state

Suitable for flows like approvals, case processing, or task orchestration — where each step and state must be controlled.

Multi-module systems

Systems that require consistency across modules

Useful when the codebase has repeated patterns in naming, boundaries, and implementation structure.

Spec-code alignment

Keeping specification and implementation in sync

Ideal when teams want contracts, documentation, and code to stay aligned with a single source of truth over time.

Find the right use case for your team →

Midi Coder is a platform for operating Contract Coding at team and organizational scale

Beyond code generation, Midi Coder standardizes intent, controls changes, and enables stable collaboration around contracts.

Group 01

Control AI infrastructure and cost

Maintain full control over models, usage, and runtime environment at the infrastructure level.

  • BYOK

    Use your own API keys to control models, usage, and costs according to internal policies.

  • Dedicated Infrastructure

    Each tenant runs on isolated infrastructure, ensuring separation, stability, and easier management.

Group 02

Organization and access control

Manage teams, roles, and context to ensure consistent output.

  • Organization, Member, RBAC

    Manage organizations, members, roles, and access across teams, environment, or projects.

  • Context Memory

    Store and reuse context at the organization or project level to maintain consistent output.

Group 03

Control changes from contract to codebase

Ensure changes are controlled before reaching the production repository.

  • Contract Diff

    Compare differences between contract versions to control changes at the intent level.

  • Merge Request Workflow

    Manage changes through review, approval, and merge processes before applying them to the codebase.

  • Auto Fix Engine

    Automatically detect and resolve common issues before code is applied to the system.

Group 04

Collaboration on contracts and code

Enable multiple contributors to review, give feedback, and finalize results within a unified workflow.

  • Collab IDE

    A collaborative environment for working on contracts, code, and review workflows together.

  • Preview + Feedback

    Preview the final output and collect direct feedback before deployment.

Explore platform capabilities →

Roadmap

These capabilities are continuously expanding to bring Contract Coding further into team-scale and product workflows.

  • Pixel-perfect UI from Figma
  • Automated DevSecOps
  • Contract Marketplace
  • Coding on the go (Mobile App)
  • Developer monetization on Midi Coder
View the roadmap

What the community says about Midi Coder

Feedback from teams using Contract Coding in real-world work.

Explore community feedback →

FAQ

Frequently asked questions when getting started with Contract Coding.

1. Does Contract Coding completely replace AI coding?

No. Contract Coding changes how teams use AI: AI helps create and update contracts, while code is generated through a controlled pipeline before entering the codebase.

2. Can small teams use it?

Yes. Small teams can benefit if the problem is structured and repeatable, and requires changes to be easy to review. No need to wait until the system becomes large.

3. How do we adopt it with an existing codebase?

Start incrementally. Pick areas with clear rules, convert them into contracts, let the pipeline handle them first, then expand gradually.

4. Do I need deep technical documentation to get started?

No. The homepage and guides are enough to understand the core flow. Deeper documentation is only needed when designing contracts and pipelines in detail.

5. Why is this easier to review?

Because every change goes through contracts, versions, and pipelines before reaching the codebase. Teams don't just see the final diff — they understand why the change happened.

6. Do we need to replace my current workflow?

No. You can adopt it incrementally, keep your current workflow where it fits, and expand as your team becomes familiar with the new flow.

Get started with the guides →
Ready to adopt Contract Coding?

Start with Contract Coding today

Bring AI into your development workflow with a clear source of truth, consistent code, and fully controlled changes.

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