
tng.sh
CaseIt
Create my test
noSwag
sample testing
Supertest
Testady
Testar
iPython
Jupyter
PyCharm
Spyder
IDLE
PyScripter
Pyzo
Ecere SDK
TNG is a smart test generation tool that turns your code into complete test suites โ in minutes, not hours. Built by developers, to save your time, ensure code quality, and free you from repetitive test writing. Currently supports Ruby and Python, with more languages coming soon. This tool was born out of the real frustration of watching developers spend countless hours writing and maintaining repetitive tests, instead of solving problems and shipping features. Deadlines donโt wait, and writing tests eats your time. We had to fix this.
Whatโs new or unique: TNG is not a generic tool, but a static analysis engine that understands your code and turns it into complete test suites.
Cross-language roadmap: Ruby and Python now โ JavaScript, TypeScript, Go, and more coming.
Focused on real developer workflows: no overhead, no friction, easy to integrate.
Generates real tests in minutes, not hours, giving you back valuable development time.
Unlike old, rigid test generators, TNG adapts and grows with your stack.
What we're proud of: - We've built something that truly fits into a developerโs daily workflow. - No fluff, just real value that saves time and increases productivity. - A bold roadmap: not just one language or ecosystem.
We are a small team with a big vision: focused on quality over quantity.
tng.sh
iPythontng.sh's answer
Purpose-built, not generic
Unlike broad AI code assistants, TNG.sh is laser-focused on one thing: high-quality test generation.
No prompt engineering, no guesswork โ just predictable, framework-native tests.
AST-based static analysis + fine-tuned LLMs
Deep code understanding through AST (Abstract Syntax Tree) parsing.
Generates real, runnable tests with anti-hallucination rules โ not made-up methods.
Seamless developer workflow
Works where developers already are: CLI for automation & CI/CD, VS Code extension for day-to-day coding.
Minimal setup, instant value.
Cross-language roadmap
Ruby & Python today.
JavaScript, TypeScript, Go, and more coming next.
One tool, multi-language coverage.
Privacy-first
Zero data retention: your code never leaves your control.
Unlike chat tools, TNG.sh doesnโt store, train on, or leak your IP.
Built by developers, for developers
Born out of real frustration with repetitive test writing.
Every feature solves problems weโve faced in production ourselves. In short: TNG.sh saves you hours, integrates seamlessly, and guarantees real, runnable tests โ with zero compromise on privacy.
tng.sh's answer
Built for tests, not everything
Competitors are broad AI assistants โ unfocused, inconsistent.
tng.sh is purpose-built for one job: generating high-quality, runnable tests.
Real tests, not guesses
Competitors rely on prompts and often hallucinate methods.
tng.sh uses AST-based static analysis + fine-tuned LLMs โ framework-native, predictable, CI-ready tests every time.
Saves time, every run
Competitors = back-and-forth, lots of manual fixes.
tng.sh = production-ready tests in 1โ2 minutes, with up to 22ร faster output than manual writing.
Seamless developer workflow
Competitors force you into new tools or chat UIs.
tng.sh plugs in where you already are โ CLI, VS Code, and CI/CD.
Privacy first
Competitors often store and train on your code.
tng.sh never stores or retains your code โ zero data retention by design.
Grows with your stack
Ruby & Python today.
JavaScript, TypeScript, Go, PHP coming soon โ one tool, multi-language future. In short: tng.sh is faster, safer, and more consistent than generic AI tools โ because it was built by developers who know the pain of testing.
tng.sh's answer
Software Developers & QA Engineers Developers who spend too much time writing and maintaining repetitive tests for Ruby, Python, and soon JavaScript projects.
Tech Leads & Engineering Managers Leaders who need higher test coverage, faster delivery, and more predictable quality without overloading their teams.
Startups & Growing Teams Small teams under pressure to ship features quickly, where developer time is the most valuable currency.
Enterprises Modernizing Legacy Code Companies with large, untested codebases that need reliable test coverage to move fast without breaking production.
tng.sh's answer
TNG.sh wasnโt born in a boardroom โ it was born in the trenches of real software projects.
Our team had spent years writing and maintaining tests for Ruby on Rails and Python applications. Again and again, we saw the same pattern:
Deadlines always won.
Tests took hours or even days.
Legacy code felt like walking through a minefield with zero coverage.
Developers were frustrated. Managers were frustrated. Features slowed down.
We asked ourselves: What if generating tests could be as fast and natural as writing code itself?
That question became the seed for TNG.sh.
We built a precision tool that deeply understands your code with AST-based static analysis, then combines it with fine-tuned LLMs to generate production-ready tests in minutes, not hours.
Unlike generic AI assistants, TNG.sh is:
Purpose-built for tests โ predictable, framework-native results.
Privacy-first โ zero data retention, your code stays yours.
Seamless โ works in CLI, VS Code, and CI/CD without overhead.
Itโs more than just a tool โ itโs a way to give developers back their most valuable resource: time.
In short: TNG.sh is the result of our own pain as developers โ a tool we wish weโd had years ago, now built for every team that wants to ship faster, safer, and with confidence.
tng.sh's answer
TNG.sh combines modern programming languages and AI with proven developer tooling:
Core Engine: Built with high-performance systems programming (Rust, Python).
Code Intelligence: Advanced static code analysis with AST parsing for Ruby, Python, and JavaScript (in beta).
Test Generation: Fine-tuned machine learning models specialized for test creation and framework patterns.
Developer Interfaces: Simple, familiar tools โ CLI packages and a VS Code extension โ designed for seamless integration into daily workflows.
Privacy by Design: Cloud-backed but zero data retention โ code is never stored or reused.
In short: Static analysis + AI + developer-friendly interfaces.
tng.sh's answer
TNG launched in September 2025 and is currently in its early growth phase with 1,000+ developers actively using the platform.
Since many of our customers prefer to stay private during beta, we describe our user base like this:
By company size:
Seed to Series C startups (fintech, healthtech, SaaS)
Development agencies managing multiple client projects
Individual developers inside Fortune 500 companies
By use case:
Startups reaching 90%+ test coverage before Series A
Agencies cutting project delivery time by 40%
Enterprise teams modernizing legacy codebases
Results across all customers:
94% average test coverage
22ร faster than manual test writing
50,000+ tests generated in the first month
We are committed to privacy-first relationships and will publish detailed case studies with customer permission in Q4 2025.
Interested in becoming a design partner? We offer early adopter pricing and direct access to our founding team.
Based on our record, iPython seems to be more popular. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 11 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
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