Nathan Cooper
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ncoop57.bsky.social
Nathan Cooper
@ncoop57.bsky.social
430 followers 2.6K following 46 posts
I'm a nerd (https://nathancooper.io).

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ncoop57.bsky.social
Ready to try it? `pip install faststripe` then:
A "Getting Started" Python code snippet for the `faststripe` library, demonstrating its two primary functions. The first example shows how to create a one-time payment for "My Digital Product" at a cost of $20.00 using the `sapi.one_time_payment` function. The second example shows how to create a recurring "Monthly Plan" subscription for $9.99 per month using the `sapi.subscription` function. Both code blocks define success and cancel URLs and print the beginning of the generated checkout URL.
July 23, 2025 at 6:03 PM
ncoop57.bsky.social
The real magic happens in your editor. Every method knows its parameters and can tell your IDE about them. Documentation flows directly from Stripe's specification into your development environment.
A screenshot from a code editor showing an interactive help feature for the `faststripe` library. The command `sapi.customers.post?` has been run, which displays the documentation for that function directly below it. The output, formatted as comments, shows the function's signature and the beginning of a list of its available parameters, such as `address`, `balance`, and `cash_balance`, along with their expected data types.
July 23, 2025 at 6:03 PM
ncoop57.bsky.social
Here's what makes it special about these convenience methods: when you call something like `sapi.one_time_payment()`, FastStripe handles the product/price creation automatically. But it uses the same auto-generated methods you have access to.
A screenshot of the Python source code that implements the `faststripe` library's convenience methods. The image shows four functions being added to a `StripeApi` class using `@patch` decorators: * **`find_product`**: Finds a product by name. * **`find_prices`**: Finds all prices for a given product ID. * **`priced_product`**: A helper function to create a product and price if they don't already exist. * **`one_time_payment`**: The main convenience method. The code reveals how the simple `one_time_payment` function internally calls these helper functions to handle the logic of finding or creating products and prices before creating the final Stripe Checkout Session. This illustrates how more complex API logic is abstracted into a single function call.
July 23, 2025 at 6:03 PM
ncoop57.bsky.social
FastStripe gives you two things:
1) Every Stripe endpoint with perfect IDE integration
2) High-level methods for common patterns.

Want full control? Use the complete API.
Want simplicity? Use the convenience methods.
A Python code snippet from the `faststripe` library demonstrating flexibility by combining detailed control with convenience methods. The first section, labeled with the comment "# Full control when you need it," shows the creation of a customer with specific details, including email, name, a nested address object, and metadata. The second section, labeled "# Then use the convenience method," shows the creation of a subscription for a "Pro Plan" costing 1999 cents, using the email from the customer object created in the first step.
July 23, 2025 at 6:03 PM
ncoop57.bsky.social
The key insight: Stripe publishes a comprehensive OpenAPI spec describing their entire API 🤓 . Instead of manually writing wrapper functions, we generate the perfect SDK automatically from Stripe's own specification. Always current, always complete.
A Python code snippet showing a data structure generated from Stripe's OpenAPI specification, dated 2025.05.28. The code defines a list of API endpoints, with the visible example being a dictionary that defines the endpoint for creating a customer. The dictionary specifies the `path` as `/v1/customers`, the `verb` as `post`, and a list of `params` such as `email` and `name`. Comments in the code indicate that this is a small sample, with many more parameters and hundreds of other endpoints in the full specification.
July 23, 2025 at 6:03 PM
ncoop57.bsky.social
At @answerdotai, we integrate @stripe into lots of projects. Every time, I found myself doing the same dance: create product, create price, create checkout session. Then hunting docs for parameters for each. So we built FastStripe, a self-documenting Stripe SDK that's easy to use!
A code snippet in Python demonstrating the use of the faststripe library to create a Stripe payment. The code imports StripeApi, initializes it with a placeholder key, and then calls the one_time_payment method to create a checkout session for a 'Digital Course' costing 4999 cents, with specified success and cancel URLs. The final line prints the first 64 characters of the generated checkout URL.
July 23, 2025 at 6:03 PM
ncoop57.bsky.social
Above announcement was generated with shell-sage's sassy mode 😅
February 1, 2025 at 3:29 PM
ncoop57.bsky.social
Had another magical moment with shell sage! I was fixing a repo issue and asked shell sage for the issues. Then used my quick commit alias (which uses shell sage), and it automatically added “Resolves #22” to the commit since it could see them in my terminal! 🤓🤓
February 1, 2025 at 3:04 PM
ncoop57.bsky.social
🎉 ShellSage v0.0.6 is now available!

New features:
• Add new command mode for automatically inserting the correct command into your terminal
• Add Support for OpenAI Compatible Providers

Various bugs squashed too!

github.com/AnswerDotAI/...
December 28, 2024 at 5:33 PM
ncoop57.bsky.social
Interesting use of Shell Sage to see all of the panes that helped me out today. Had two panes: one for setting up Caddy configuration, and one for running a FastHTML app. Was getting a 303 error that I didn't understand, and so asked Shell Sage what was happening and gave it the entire context🤓
December 21, 2024 at 6:12 PM
ncoop57.bsky.social
The magic happens through tmux integration. ShellSage can 'see' your terminal history, commands, and errors. Instead of describing your problem, both you and the AI have the same context. This creates a natural workflow where the AI understands what you're trying to do 🪄
December 5, 2024 at 8:27 PM
ncoop57.bsky.social
As R&D staff @ answer.ai, I work a lot on boosting productivity with AI. A common theme that always comes up is the combination of human+AI. This combination proved to be powerful in our new project ShellSage, which is an AI terminal buddy that learns and teaches with you. A 🧵
December 5, 2024 at 8:27 PM