Write Better Solana Smart Contracts with Claude and Codex

AI coding tools can bring the wrong assumptions to Solana. Josh Siegel from Jump Crypto shows how to give Claude and Codex the context they need to write better Solana code.

Josh walks through his core prompt, Solana security checklists, test-driven development, and compute unit benchmarks. He then breaks down an oracle update optimization that reduced compute usage from 34,329 to 293 CU for a single instruction.

Follow six steps: give AI Solana-specific context, prototype the logic and prepare test data, test correctness and coverage, benchmark compute units, protect your tests, and review code with another AI agent. The case study then shows how Josh applies these ideas to a real optimization problem.

CHAPTERS

00:00 Writing Solana code with AI

01:48 Why AI gets Solana wrong

04:07 Step 1: Give AI Solana-specific context

07:50 Step 2: Prototype the logic and prepare test data

08:52 Step 3: Test correctness and code coverage

09:11 Step 4: Benchmark compute units

09:53 Step 5: Protect your tests from AI shortcuts

10:27 Step 6: Review code with another AI agent

10:54 Case study: Optimizing an oracle update

12:48 Moving math off-chain

13:26 Rethinking validation and trust

14:17 Matching transaction and memory layouts

14:58 Reducing framework overhead

16:28 Security trade-offs and takeaways

RESOURCES

Josh’s Solana prompt and reference material:

https://github.com/JumpCrypto/agents

#Solana #AICoding #SolanaDevelopers

DISCLAIMER

The content herein is provided for…