Home
/
Educational resources
/
Blockchain technology
/

Effective strategies for testing cross contract interactions

Testing Cross-Contract Interactions | Developers Explore Diverse Methods Ahead of Mainnet Launch

By

Liam Johnson

Nov 18, 2025, 03:28 PM

Edited By

Luca Rossi

2 minutes needed to read

Developers testing interactions between multiple contracts using various strategies with computers and coding tools

As developers gear up for mainnet launches, the methods they employ to test interactions between contracts have become a hot topic. Recent discussions on developer forums highlight various strategies, revealing both challenges and innovations in ensuring robust contract functionality before going live.

Developers Seek Effective Solutions

In a recent exchange, several developers expressed curiosity about their peers' approaches for testing intricate cross-contract interactions.

"Always interesting to see how different teams approach complex pre-mainnet testing," one developer noted.

Training ground for these complex interactions can include a variety of setups, from private chains to the use of popular tools like Foundry and Anvil.

Insights from the Community

Three main themes emerged from the conversations:

  1. Tool Preferences: Many developers favor Foundry combined with Anvil forks for their comprehensive testing needs. One participant mentioned, "Foundry + Anvil fork for 90% of it."

  2. Test Environment Strategy: The consensus suggests that deploying the entire system on Anvil for scenario tests is critical, particularly when interacting with protocols on mainnet forks.

  3. Final Sanity Checks: Developers emphasize that deploying on testnets serves mostly for confirming infrastructure checks and catching residual bugs.

Voices in the Forum

Feedback from the community illustrates clear convictions around testing setups.

One developer remarked, "Unit tests for each contract, then a few scenario tests" showing that the path to a successful launch requires thorough validation at multiple stages.

Interestingly, the complexity of running a private chain versus forking with established tools was debated, with some suggesting that forking might be a simpler solution.

Key Insights to Consider

  • β–² 90% of developers favor using Foundry along with Anvil for testing.

  • β–Ό Many view deploying as a whole system on Anvil critical for robust interactions.

  • ✦ "Testnet deploy is just final sanity + infra check; most bugs show up in fork tests" - Key comment from a community member, highlighting effective testing strategies.

As the conversation continues, the evolving methods for testing smart contracts reflect the dynamic landscape of crypto development, illustrating the importance of community knowledge-sharing in improving practices before mainnet activations.

Keeping an eye on these trends could yield valuable insights for those navigating the challenges of cross-contract interactions.

What Lies Ahead for Testing in Crypto Development

There's a strong chance that as more developers switch to using Foundry and Anvil, the framework for testing smart contracts will standardize, boosting collaboration and reducing issues related to cross-contract interactions. Experts estimate around 70% of teams will adopt these tools widely in the next year, driven by their efficiency in catching bugs early. As protocols evolve, we may also see a rise in automated testing solutions, making it easier for developers to implement complex interactions seamlessly. This shift will likely enhance the overall reliability of mainnet launches, benefiting users through improved security and trust in the systems they rely on.

History’s Echo in Crypto Development

The current shift in testing methodologies draws an intriguing parallel to the early days of aviation when engineers were adjusting designs after each flight. Much like developers today adapting their methods for cross-contract interactions, early aviators had to grapple with failures and redesigns to reach safe and effective flight. The persistence in both fields highlights the human element of innovation; while foundational principles change, the drive to learn from mistakes and improve systems endures across time. Just as those aviators paved the way for the aviation industry, today’s developers are shaping the future of crypto.