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## Mastering Cross-Program Invocations: Native Solana vs. The Anchor Framework In the Solana ecosystem, the ability for one program to interact with another is a fundamental aspect of composability. This process is known as **Cross-Program Invocation (CPI)**. Whether you are building a DeFi protocol that integrates with a DEX or simply splitting logic across multiple smart contracts, understanding how to manage these interactions is critical. This lesson explores the differences between handling CPIs using native Rust development versus leveraging the Anchor Framework. We will specifically examine how the **Interface Definition Language (IDL)** transforms a complex, repetitive workflow into a streamlined, automated process. ### The Challenge of Native Solana Development When developing in a native Solana environment—writing pure Rust without a framework—interacting between two programs requires significant manual overhead. Consider a scenario involving two programs: * **Program A:** The calling program (the initiator). * **Program B:** The target program (the executor). If Program A wants to instruct Program B to perform a specific action, such as incrementing a counter, it must utilize a Cross-Program Invocation. To achieve this, Program A must send a specific instruction (`ix`) to Program B. #### The Code Duplication Problem The friction in native development arises from how these instructions are defined. For Program A to successfully format and send a request to Program B, the structure of that instruction must be explicitly defined in **two separate locations**: 1. **Inside Program B:** The instruction is defined so the program knows how to deserialize the data and execute the logic. 2. **Inside Program A:** The instruction must be **re-declared** (duplicated) so that Program A knows how to serialize and format the request correctly before sending it. This requirement forces developers to violate the **DRY (Don't Repeat Yourself)** principle. You are essentially copying and pasting instruction definitions from the callee to the caller. If Program B updates its instruction structure, Program A breaks until the definition is manually updated, increasing the risk of bugs and maintenance overhead. ### The Anchor Solution: Interface Definition Language (IDL) The Anchor Framework resolves the code duplication issue through the introduction of the **IDL (Interface Definition Language)**. An IDL serves as a blueprint that defines the public interface of a Solana program. It lists every instruction, account structure, and error code the program exposes. #### For Ethereum Developers: The ABI Analogy If you are transitioning from Ethereum or EVM-compatible chains, the IDL is conceptually identical to the **ABI (Application Binary Interface)**. Just as an ABI allows a frontend or another smart contract to understand the functions available on an Ethereum contract, the IDL defines the instructions available on a Solana program. #### The Automated Workflow Anchor automates the communication between programs, eliminating the need for manual re-declaration. The workflow operates as follows: 1. **Compilation:** When you compile Program B using Anchor, the framework automatically generates an **IDL file** (typically a JSON file). 2. **Import:** You import this IDL file into Program A’s environment. 3. **Code Generation:** Anchor reads the IDL and automatically generates the Rust code (bindings) required for Program A to communicate with Program B. By referencing the IDL, Program A acts as if it understands Program B natively, without the developer ever writing a single line of redundant instruction definition code. ### Critical Use Cases for IDL Understanding IDL is essential for two primary development scenarios: #### 1. Internal Composability (You Own Both Programs) If you are the author of both the calling program and the target program, Anchor handles the IDL generation and sharing seamlessly. This allows you to modularize your code across different programs without incurring the technical debt of maintaining duplicate instruction sets. #### 2. External Integrations (Third-Party Protocols) The most powerful application of IDL arises when you need to interact with a program where you do not have access to the source code. For example, if you are building a yield aggregator that integrates with a major DEX or a closed-source protocol: 1. You do not need the target program's Rust repository. 2. You simply acquire the **IDL file** (which is publicly readable JSON). 3. You place the IDL into your Anchor project. 4. Anchor builds the necessary Rust bindings from that JSON file. This capability allows you to invoke third-party programs with type safety and structure, treating external protocols as accessible APIs regardless of their codebase visibility. ### Summary The transition from native Solana development to Anchor is largely about developer experience and safety. While native development requires manual serialization and redundant code definitions for CPIs, Anchor abstracts this complexity using the IDL. By standardizing how programs describe their interfaces, Anchor allows developers to integrate with internal and external programs efficiently, mimicking the ease of use found in EVM development.
In the Solana ecosystem, the ability for one program to interact with another is a fundamental aspect of composability. This process is known as Cross-Program Invocation (CPI). Whether you are building a DeFi protocol that integrates with a DEX or simply splitting logic across multiple smart contracts, understanding how to manage these interactions is critical.
This lesson explores the differences between handling CPIs using native Rust development versus leveraging the Anchor Framework. We will specifically examine how the Interface Definition Language (IDL) transforms a complex, repetitive workflow into a streamlined, automated process.
When developing in a native Solana environment—writing pure Rust without a framework—interacting between two programs requires significant manual overhead.
Consider a scenario involving two programs:
Program A: The calling program (the initiator).
Program B: The target program (the executor).
If Program A wants to instruct Program B to perform a specific action, such as incrementing a counter, it must utilize a Cross-Program Invocation. To achieve this, Program A must send a specific instruction (ix) to Program B.
The friction in native development arises from how these instructions are defined. For Program A to successfully format and send a request to Program B, the structure of that instruction must be explicitly defined in two separate locations:
Inside Program B: The instruction is defined so the program knows how to deserialize the data and execute the logic.
Inside Program A: The instruction must be re-declared (duplicated) so that Program A knows how to serialize and format the request correctly before sending it.
This requirement forces developers to violate the DRY (Don't Repeat Yourself) principle. You are essentially copying and pasting instruction definitions from the callee to the caller. If Program B updates its instruction structure, Program A breaks until the definition is manually updated, increasing the risk of bugs and maintenance overhead.
The Anchor Framework resolves the code duplication issue through the introduction of the IDL (Interface Definition Language).
An IDL serves as a blueprint that defines the public interface of a Solana program. It lists every instruction, account structure, and error code the program exposes.
If you are transitioning from Ethereum or EVM-compatible chains, the IDL is conceptually identical to the ABI (Application Binary Interface). Just as an ABI allows a frontend or another smart contract to understand the functions available on an Ethereum contract, the IDL defines the instructions available on a Solana program.
Anchor automates the communication between programs, eliminating the need for manual re-declaration. The workflow operates as follows:
Compilation: When you compile Program B using Anchor, the framework automatically generates an IDL file (typically a JSON file).
Import: You import this IDL file into Program A’s environment.
Code Generation: Anchor reads the IDL and automatically generates the Rust code (bindings) required for Program A to communicate with Program B.
By referencing the IDL, Program A acts as if it understands Program B natively, without the developer ever writing a single line of redundant instruction definition code.
Understanding IDL is essential for two primary development scenarios:
If you are the author of both the calling program and the target program, Anchor handles the IDL generation and sharing seamlessly. This allows you to modularize your code across different programs without incurring the technical debt of maintaining duplicate instruction sets.
The most powerful application of IDL arises when you need to interact with a program where you do not have access to the source code.
For example, if you are building a yield aggregator that integrates with a major DEX or a closed-source protocol:
You do not need the target program's Rust repository.
You simply acquire the IDL file (which is publicly readable JSON).
You place the IDL into your Anchor project.
Anchor builds the necessary Rust bindings from that JSON file.
This capability allows you to invoke third-party programs with type safety and structure, treating external protocols as accessible APIs regardless of their codebase visibility.
The transition from native Solana development to Anchor is largely about developer experience and safety. While native development requires manual serialization and redundant code definitions for CPIs, Anchor abstracts this complexity using the IDL. By standardizing how programs describe their interfaces, Anchor allows developers to integrate with internal and external programs efficiently, mimicking the ease of use found in EVM development.
A comparative deep-dive to Mastering Cross-Program Invocations: Native Solana vs. The Anchor Framework - Understand the code duplication challenges inherent in native development and how the Interface Definition Language resolves them. Master the use of IDLs to automate bindings and enable seamless composability with both internal projects and external, closed-source protocols.
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About the course
Native Rust & Anchor framework
PDAs, CPIs, and SPL Tokens
DeFi builds: oracles, auctions, AMMs
Last updated on January 12, 2026
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Course Overview
About the course
Native Rust & Anchor framework
PDAs, CPIs, and SPL Tokens
DeFi builds: oracles, auctions, AMMs
Last updated on January 12, 2026