# Result Library ## Result Library for Java - [Introduction](https://result.leakyabstractions.com/readme.md): A Java library to handle success and failure without exceptions - [Getting Started](https://result.leakyabstractions.com/docs/start.md): How to get up and running with Results in no time - [Adding Result to Your Build](https://result.leakyabstractions.com/docs/start/adding-dependency.md): How to add Result as a dependency to your build - [Creating Results](https://result.leakyabstractions.com/docs/start/creating-results.md): How to instantiate new Result objects - [Basic Usage](https://result.leakyabstractions.com/docs/basic.md): How to solve simple use-case scenarios - [Checking Success or Failure](https://result.leakyabstractions.com/docs/basic/checking.md): How to find out if the operation succeded or failed - [Unwrapping Values](https://result.leakyabstractions.com/docs/basic/unwrapping.md): How to get values out of Result objects - [Conditional Actions](https://result.leakyabstractions.com/docs/basic/conditional.md): How to handle success and failure scenarios - [Advanced Usage](https://result.leakyabstractions.com/docs/advanced.md): How to take Result objects to the next level - [Screening Results](https://result.leakyabstractions.com/docs/advanced/screening.md): How to reject success values and accept failure values - [Transforming Results](https://result.leakyabstractions.com/docs/advanced/transforming.md): How to transform values wrapped inside Results - [Recap](https://result.leakyabstractions.com/docs/recap.md): Level up and lessons learned - [Ecosystem](https://result.leakyabstractions.com/add-ons/ecosystem.md): Boosting results with enhanced capabilities - [Fluent Assertions](https://result.leakyabstractions.com/add-ons/assertj.md): How to assert Result objects fluently - [Jackson Modules](https://result.leakyabstractions.com/add-ons/jackson.md): How to serialize Result objects with Jackson 2.x and 3.x - [Micronaut Serialization](https://result.leakyabstractions.com/add-ons/micronaut.md): How to serialize Result objects with Micronaut - [Lazy Results](https://result.leakyabstractions.com/add-ons/lazy.md): How to defer expensive calculations with Results - [Bill of Materials](https://result.leakyabstractions.com/extra/bom.md): How to declare dependencies without having to worry about version numbers - [Benchmarks](https://result.leakyabstractions.com/extra/benchmarks.md): Measuring performance to find out how fast Results are - [Demo Projects](https://result.leakyabstractions.com/extra/demo.md): Check out some REST APIs that consume and produce Result objects - [Spring Boot Demo Project](https://result.leakyabstractions.com/extra/demo/spring-boot.md): Take a look at a Spring Boot-based REST API leveraging Result objects - [Micronaut Demo Project](https://result.leakyabstractions.com/extra/demo/micronaut.md): Take a look at a Micronaut-based REST API leveraging Result objects - [License](https://result.leakyabstractions.com/extra/license.md): Feel free to tweak and share — no strings attached --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation This site has an agentic ask interface you may use to query the documentation dynamically by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://result.leakyabstractions.com/index.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.