01 / 10
ApiPatch / Pre-Seed Pitch Deck

Automating breaking API migrations
for modern codebases.

When third-party SDKs introduce breaking changes, codebases break silently. ApiPatch detects deprecated calls, fetches official documentation, rewrites the application logic, and validates syntax trees to open verified, ready-to-merge GitHub Pull Requests.

v0.9.0
Published on PyPI (pip install apipatch)
192 / 192
Unit tests passing (100% test suite)
342k+ ★
Open-source star reach (CopilotKit, LiteLLM, Google)
Python / TS
Multi-language AST validation support
Built by Morad Moqbel · github.com/MoradMoqbel/apipatch
02 / The Problem

Dependency upgrades break code.
Dependabot only bumps version numbers.

When major SDKs release breaking updates (OpenAI 1.0, Pydantic 2.0, Google GenAI), engineering teams spend days manually hunting deprecated calls across repositories.

What automated tools do today requirements.txt
# Dependabot updates the package definition
- openai==0.28.0
+ openai==1.50.0

# But your application code remains unchanged
response = openai.ChatCompletion.create(
model="gpt-4", messages=[...]
)

# Result: Runtime crash in production
AttributeError: module 'openai' has no attribute 'ChatCompletion'
Silent Production Failures
Version bumps pass simple CI checks if integration tests lack full coverage, only to crash at runtime when deprecated APIs are invoked.
High Engineering Grunt Work
Engineers spend hours reading release notes, looking up renamed symbols, and modifying repetitive call sites by hand.
Blocked Security & Feature Updates
Teams intentionally postpone necessary library upgrades for months because the refactoring overhead is too high.
03 / The Solution

End-to-end refactoring with AST verification.

ApiPatch bridges the gap between version detection and code refactoring by autonomously generating syntactic and semantic fixes.

Terminal Execution apipatch pr owner/repo
$ apipatch pr patchy631/ai-engineering-hub

[1/5] Auditing repository dependencies...
[2/5] Deprecation detected: google-generativeai -> google-genai
[3/5] Fetching official migration guide via DocHunter...
[4/5] Refactoring code with AST self-healing validation...
[PASS] Python AST parsed with zero syntax errors.
[5/5] Creating fork and atomic commit...

[DONE] Pull Request opened: #261 (100% pre-merge checks passed)
1. Grounded Documentation Retrieval
Queries official package registries and changelogs before generating code, preventing LLM hallucinations about API signatures.
2. Syntax Tree Self-Healing Loop
Every refactored block must pass abstract syntax tree (AST) validation. If a syntax error is introduced, the engine corrects it automatically.
3. Non-Destructive Subproject Scope
Only modifies targeted subdirectories and related manifests, keeping surrounding files completely untouched.
04 / Architecture

A deterministic migration pipeline.

Designed to ensure that every pull request submitted is safe, syntactically sound, and directly reviewable by maintainers.

STEP 01
Repository Ingestion
Parses package manifests (requirements.txt, package.json) and scans source files in parallel.
STEP 02
Doc Retrieval
Pulls exact migration notes and changelogs from verified package registries and repositories.
STEP 03
Refactor Engine
LLM transforms deprecated invocations into modern client calls following official migration specs.
STEP 04
AST Validation
Validates the code structure using language parsers (ast module in Python, Babel in JS/TS).
STEP 05
Atomic PR
Creates a clean branch, commits changes atomically via GitHub API, and provides a structured report.
Key Architectural Principle: ApiPatch treats LLM outputs as untrusted candidates. Code is only committed after passing static grammar validation and AST equivalence checks.
05 / Market Opportunity

Maintaining external code dependencies is a continuous cost.

As software shifts to API-first architectures and AI SDKs, library velocity is higher than ever, creating continuous maintenance overhead.

$10B+
Software maintenance & developer productivity market

Engineering teams spend up to 20% of their bandwidth refactoring existing integrations rather than building core features.

250M+
Repositories hosted across GitHub

Every repository using active dependencies experiences deprecation cycles several times each year.

3 Revenue Tiers
Commercialization model

Open-source CLI for developers, $29/dev/mo team SaaS for private codebases, and Enterprise contracts for API vendors.

The API Vendor Opportunity
API providers (Stripe, Twilio, OpenAI) suffer major customer friction whenever they release breaking SDKs. ApiPatch enables providers to sponsor automated migration pull requests directly into their customers' repositories, eliminating upgrade drop-off.
06 / Competitive Landscape

Moving from notification to resolution.

Existing tools either stop at updating package manifests or require engineers to write complex custom codemod scripts.

Capability Dependabot / Renovate Manual Codemods (Grit/jscodeshift) AI Copilots (Cursor/Copilot) ApiPatch
Updates manifest version Yes No Manual Yes
Refactors application source code No Yes (Requires writing custom DSL rules) Interactive (Line-by-line prompting) Autonomous
Retrieves live official docs No No Prompt dependent Automatic via DocHunter
Syntax tree (AST) validation No Manual rule validation No Built-in self-healing
Ready-to-merge GitHub Pull Request Manifest only No No Full codebase PR
07 / Traction & Validation

Real software, validated in production repositories.

ApiPatch is not a prototype; it is actively running and validated against live, high-traffic open-source repositories.

Live Pull Request Validation: patchy631/ai-engineering-hub

Migrated the video-rag-gemini subproject in a 37,500-star repository from legacy google-generativeai to Google's official google-genai SDK.

CodeRabbit Automated Review on PR #261:
- Pre-merge checks: 5/5 PASSED
- Merge risk: MINIMAL
- Conflicts with base branch: NONE
- "No actionable comments were generated in the recent review."
Status: PR #261 open, cleanly mergeable.
Engineering Milestones Completed
  • PyPI Release: Package published and installable (pip install apipatch).
  • Comprehensive Testing: 192 automated unit tests with 100% pass rate.
  • Early Design Partner: Onboarded Leonid Bugaev (Founder @ ProbeLabs) collaborating on CI/CD runtime safety.
  • Organic Registry Discovery: Automatically indexed by agent registries (Skillful) based on PyPI adoption.
  • CI/CD & Daemon: Complete Docker daemon and GitHub Actions integration ready for teams.
Current version: v0.9.0
08 / Roadmap

Execution milestones for the next 90 days.

Focusing strictly on expanding distribution, developer adoption, and establishing our first commercial pilots.

CURRENT / MONTH 1
Targeted PR Campaign

Submit verified migration PRs across top 20 popular repositories with known deprecated dependencies (OpenAI, LangChain, Google GenAI). Drive organic awareness through merged contributions.

MONTH 2
GitHub App Launch

Launch a one-click GitHub Marketplace application. Provides continuous background monitoring and automated PR generation on every upstream breaking change release.

MONTH 3
Enterprise SDK Pilots

Initiate commercial pilot discussions with developer platform vendors seeking to reduce customer churn when shipping major API breaking changes.

20+
Merged open-source PRs
500+
Developers using CLI
1-Click
GitHub App installation
First 5
Enterprise design partners
09 / The Founder

Technical execution with high velocity.

ApiPatch is built by a solo technical founder who understands the pain point from direct engineering experience.

Morad Moqbel

Founder & Software Engineer
Based in Ibb, Yemen · Solo Technical Founder
I built ApiPatch because I experienced the frustration of broken dependencies firsthand. Tools like Dependabot alert developers to new versions but leave them stranded with broken application code.

Working independently, I built the entire system from scratch: the CLI architecture, the DocHunter documentation retriever, the multi-LLM transformation layer, the AST grammar validator, and the GitHub API integration—backed by 192 passing tests.

My focus is pure execution: shipping clean, reliable tools that solve real technical debt for developers worldwide.
10 / The Ask

Raising $500K Pre-Seed.

To scale engineering, launch the GitHub App marketplace integration, and establish our first B2B developer partnerships.

50% ALLOCATION
Engineering & Parsers

Expand AST parser coverage to Go and Rust, refine the self-healing transformation engine, and finalize the hosted GitHub App.

25% ALLOCATION
Sandboxed Infrastructure

Deploy isolated execution containers to run full test suites against refactored code before PR generation, ensuring zero regressions.

25% ALLOCATION
GTM & Distribution

Scale the proactive PR campaign, build developer relations, and pursue pilot contracts with major API providers.

Let's discuss ApiPatch
Available for a 15-minute introductory call and technical demonstration.
Email: moradyunes2@gmail.com · GitHub: MoradMoqbel