Solana with Rust and Anchor: how to build in 2026

Solana programs define how an application uses network accounts and which operations its users can perform. Rust supports writing those programs, while Anchor adds tools for describing accounts, preparing tests and connecting code to other applications. Teams can use that framework or alternatives that leave more implementation decisions to them.

The comparison should start with a function the product needs to execute. That example makes it possible to examine permission validation, the code each tool provides and the operation’s compute consumption. Understanding those checks remains necessary even when a framework simplifies parts of development.

Why Solana is built in Rust

Rust is a common choice for Solana programs. Its memory checks help during development, but do not validate business rules or account permissions. The execution model supports parallelism when transactions do not conflict over accounts.

The network's architecture begins with the design Anatoly Yakovenko published in 2017. Proof of History provides a cryptographic clock for ordering events, while Rust and Sealevel run the software that takes advantage of that design.

Writing a program without Anchor lets developers define account validation and serialisation directly. Each instruction needs checks for signers, owners, addresses and relationships between accounts.

What Anchor adds

Anchor supplies macros, declarative account constraints and tools to generate an IDL describing the program interface. It reduces repetitive code, but the team must declare constraints correctly and check product-specific rules.

Checks depend on declared types and constraints. Anchor documentation distinguishes, for example, checking a signature, an owner and a relationship between accounts. Each instruction needs an explicit assessment rather than an assumption that the framework knows the business authorisation rules.

Anchor, native Rust or Pinocchio: when each one

There is no single answer. Each option fits a different moment:

Anchor. Useful when declarative constraints, the IDL and testing tools fit the product. Evaluate its conventions and upgrade costs.

Rust without a framework. Provides explicit control over checks and serialisation; the team is also responsible for implementing and testing them.

• Pinocchio. An Anza library to squeeze compute: no external dependencies, zero-copy reads of the transaction payload and fully flexible.

With Pinocchio, evaluate the specific version, dependencies and client interface generation. Choose based on measured requirements, rather than assuming it is incomplete or must always be reserved for a later phase.

Criteria for comparing implementations

What actually decides the choice:

• Learning curve. Anchor is the gentlest; native Rust, the steepest; Pinocchio demands mastering the account model.
• Repetitive code. Anchor minimizes it; native Rust and Pinocchio require the developer to implement it.

Compute. Measure units consumed by equivalent instructions and inputs. Framework choice alone does not establish which implementation will be more efficient.

• IDL and client. Anchor generates it on its own; with Pinocchio you produce it with Shank or Codama.

Maintenance. Check compatible versions, dependencies and update processes for the selected tools.

Use a withdrawal instruction to test permissions

Imagine a program with a deposit associated with a user. Withdrawal requires more than receiving an account that signed: the signer must be authorised for that deposit. An account with the expected format is also insufficient if it belongs to another program or represents another record.

Tests should attempt to substitute another user’s deposit, omit the signature and supply accounts with incorrect relationships. They should then establish that a valid operation preserves the intended accounting. This is an acceptance example, not a deployment-ready contract.

The same scenario can measure compute consumption across implementations. A variant that saves units by omitting a required check is not an equivalent comparison. Preserve requirements first, then assess cost and complexity.

Evaluating the choice in a project

To evaluate Anchor, build a representative instruction and tests for signers, owners, duplicate accounts and authorisation. Its constraints help when configured correctly; they do not automatically eliminate these error classes.

Rust without a framework or Pinocchio can be evaluated when implementation control or measured compute reduction is required. Include the cost of maintaining validation, tests and integrations in that decision. You can see the detail on the Rust, Solana and Anchor pages. The implementation guide explains how to build a decentralized application (dApp) on blockchain. For Ethereum projects, compare smart contract frameworks like Hardhat and Foundry.