What Are the Most Common Solidity Issues and How to Avoid Them?

In a dynamic world of blockchain technologies, Solidity became the first programming language for smart contract creation on blockchain platforms, including the Ethereum platform. Automatic transaction processing, the development of smart contracts, and different applications are the features that highlight the impact of language on blockchains. The flexibility and capability of Solidity certainly cannot be underestimated, but it also has its impasse. An ineffective smart contract design may result in major financial damage, showing the necessity of studying common issues and selecting proven practices to reduce potential risks. This article introduces the complexity of Solidity programming and explains how to prevent frequent errors and obtain reliable, secure, and efficient smart contracts.

Key Takeaways
- Solidity offers different tools for decentralized app development. 
- Developers encounter issues like syntax errors, memory management problems, gas optimization obstacles, etc. 
- The Solidity community provides documentation, tools, platforms, and new trends in smart contract security.

Overview of Solidity Programming Language

Solidity is a programming language, among others, for building smart contracts on blockchain frameworks, including Ethereum. Solidity allows developers to design decentralized applications (DApps) that run on blockchain technology. Solidity can handle blockchain transactions, smart contract implementation, and automatic processing without centralized authority.

Its design enables the making of structural contracts for voting, crowdfunding, blind auctions, multi-signature wallets, and many other products. The language provides inheritance, libraries, and complex user-defined types.

However, Solidity programming has problems that have yet to be solved. In terms of mistakes in smart contracts, the consequences can be rather costly. This underscores the need to know standard Solidity programming issues and apply the principles to prevent them in the heaving line. In the coming section, we will explore some of the typical bugs and guide how to handle the complexities of Solidity programming effectively.

Common Issues and How to Avoid Them

Solidity programming and writing smart contracts are constantly challenging tasks. Identifying and recognizing common issues and contract vulnerabilities can develop smart contracts’ dependability, security, and productivity. Let's explore some typical errors and solutions to them.

Syntax Errors and Compile-time Issues

Issue: Some problems with Solidity arise from syntactic and compilation time issues, like incorrect data types, visibility specifiers, or misusing language constructs.

Solution: Debugging tools like Remix, Truffle, or Hardhat facilitate catching these cracks in the early phases. Code convention and solidity style guide compliance can decrease syntax error quantity. Maintaining the updated status of the Solidity version and syntax deformation are equally important steps.

Null Pointer Exceptions and Runtime Errors

Issue: In Solidity, as in standard programming languages, runtime errors, including null pointer exceptions, may appear. It can lead to contract failure or inappropriate behavior.

Solution: Implement extensive input validation and take advantage of “assert,” “require,” and “revert” conditions for error control at the runtime. 

  • "Require" is perfect for managing conditions related to input loads and states that the functions run on.

  • "Assert " should be applied to cover internal errors and invariant checks. It burns all the gas if the malfunction happens, restraining its deployment.

  • "Revert" is an essential utility that will help to create a human-readable message describing what went wrong, causing the operation to fail. It will greatly help debugging and give the users immediate feedback.

Truffle, Hardhat, and OpenZeppelin frameworks supply software developers with an advanced Solidity development environment, including testing, debugging, and deployment tools.

Memory Management Problems

Issue: Incorrect memory and gas storage usage would lead to higher transaction fees or burdens on the contract while performing complex functions and loops.

Solution: Understanding the distinction between persistent and temporary memory is necessary for success. Data structures with minimal write memory can positively impact gas costs and contract efficiency.

Contract Security Vulnerabilities

Issue: Common security vulnerabilities entangled in contracts that are not properly audited are integer overflow/underflow, front-running, and reentrance attacks. 

Solution: Secure patterns (checks-effects-interactions), using the SafeMath library for arithmetic operations, and thorough security scans with tools like MythX or Slither can significantly improve the security. 

Read more about best practices in Solidity programming for secure smart contract design.

Gas Limit and Out-of-Gas Issues

Issue: The gas limit exceedance is generally caused by inefficient code and unoptimized cycles.

Solution: Smart contract code can be optimized by simplifying logic, minimizing transaction data, and applying gas-saving templates. Regression testing functions with various inputs to calculate gas consumption may assist in forecasting and preventing problems related to gas issues. "Require" statements can be inserted to eliminate redundant code. 

Smart Contract Upgradability Challenges

Issue: Smart contracts remain unchanged after deployment. Nevertheless, the business logic needs to be updated, complicating the possibility of contract renewal. 

Solution: Make contracts design with ease and flexibility in protocol, using some universal templates, e.g., proxy contract or diamond standard (EIP-2535). With this framework, it is possible to modify the contract logic separate from the contract address and the information stored on the blockchain.

Handling External Dependencies

Issue: Using outsourcing or external services, the system can collapse or become vulnerable if the dependence on these entities fails or is unavailable.

Solution: Ensure that dependencies are reliable and stable. Incorporating circuit breakers or emergency stop buttons can avoid instability and provide a fail-safe mechanism in case of unexpected behavior of an externally dependent tool.

Staying aware of the newest Solidity editions helps discover better options for error handling that guarantee increased security and efficiency of the smart contract development process. 


Agilie, a blockchain software company, mainly uses Solidity to provide secure, productive, innovative, and high-quality blockchain solutions. The company's practice confirms the need to invest in robust error handling to create trust, an essential factor for blockchain applications. We are proud of our dedicated professional team that developed high-class products.

Learn more about some of our fascinating projects.

Nonetheless, even with the most professional implementation, developers sometimes encounter problems requiring additional investigation. In the following section, we shed light on resources that all Solidity developers should have close at hand.

Resources for Troubleshooting Solidity Issues

The crucial skills for developers are maintenance and accomplishing tasks. So, we have put together the main resources to help with these tasks.

Official Solidity documentation

Any Solidity developer who encounters problems should first consult the official Solidity documentation. It gives thorough guidance about language syntax, structure, and changes. The documentation segment also presents a section about common mistakes, deflection, and safety concerns, which is necessary for developers who want to write secure code.

Ethereum Stack Exchange

Ethereum Stack Exchange is a gold mine of information where developers pose questions and make comments on an array of Solidity issues. It is an active group that brings junior and highly experienced programmers together to seek or provide interesting and complicated solutions.

Solidity GitHub

Solidity GitHub is the resource where the developers can search past and existing issues for bugs, features, and solutions from the Solidity community.

Remix IDE

Remix IDE is an online open-source IDE and desktop application that allows the development of Solidity contracts. The feature set includes static analysis that could help identify issues before deployment. The Remix IDE is one of the vital tools for developers whose aim is quick prototyping and debugging smart contracts.

Community forums and the Internet space

Platforms such as Reddit, specifically the r/ethdev subreddit, and other online social media make it an ideal place for getting advice, sharing experiences, and staying up to date with the latest solutions and practices in Solidity development.

Educational platforms and courses

Many online courses cover Solidity and Ethereum development topics, ranging from beginner to expert levels. The learning environment in these courses frequently involves practical exercises that offer for-the-instance projects, which provide valuable experience in figuring out and problem-solving in real-world situations.


Certainly, you can contact Agilie, the company that successfully cowers blockchain development and provides support. We'll be happy to make suggestions and ensure we have a better solution for your project.  Also, you can find a lot of helpful information on our blog.

Find out more about our blockchain software development services.

Decentralized technology is shifting the reality, as it is supported by a community of developers proficient in relevant skills and technology. We are interested in future trends and development directions and are glad to share this information with you in the coming section.

Future of Smart Contract Security

The fast-paced development of the digital sphere constantly reinvents smart contract security, too. This arena is marked by an ongoing arms race: developers and security specialists introduce useful security tools, and attackers, in turn, come up with new channels of attack. In this ever-changing ecosystem, tracking new trends and technological innovations is also a key issue for all contract systems developers. Let's discuss some future major trends.

Formal verification

Formal verification consists of mathematical demonstration that smart contracts are correct according to their specified purpose to ensure they work smoothly. Accepting this approach as a development tool is anticipated to greatly cut the number of expensive bugs and Solidity vulnerabilities in smart contracts.

The rise of the security oracles

Security oracles will execute external services that provide the smart contract with real-time security data, such as notifications of known vulnerabilities or when a security incident occurs across the network. Smart contracts can be updated in response to new security threats by connecting with security oracles.

Quantum-resistant smart contracts

The introduction of quantum computing places the supporting cryptographic methods that underlie blockchain security at risk. This has prompted an effort to create quantum-resistant algorithms for smart contracts. This out-of-box methodology aims to make smart contracts possible even with the capabilities of quantum computers.

Automating security audits and AI

The future of smart contract security is closely linked to the growing adoption of artificial intelligence and machine learning. These technologies can scan smart contracts on a larger scale and pinpoint the vulnerabilities promptly, accurately, and efficiently.


Developing applications with a deep comprehension of blockchain technology and a progressive approach to development and security, Agilie becomes a reliable partner for companies willing to securely enter the area of smart contract creation.

Connect with Agilie to transform ideas into a secure and innovative reality.


Solidity is a programming language mainly used to create smart contracts and Decentralized Apps (DApps) on the Ethereum virtual machine. Since the blockchain landscape is dynamic and changing daily, Solidity programming complications and security issues will also grow and develop correspondingly. Developers can drastically improve smart contracts’ quality and dependability by knowing common mistakes and using available resources. Agilie, with its great expertise in blockchain programming, provides customers with highly technological and efficient solutions, ensuring that smart contracts become more secure.




How can I avoid Solidity programming mistakes?


What resources are available for troubleshooting Solidity issues?


What are the most common Solidity issues?

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