Running Smart Contract Audits in Warp: The Agentic Terminal Workflow

Most auditors run Foundry in one window and their AI assistant in another. You run forge test -vvvv, copy the trace, paste it into ChatGPT or Claude, ask "what's happening here," copy the answer back, run the next command. Every hop resets context. The model doesn't remember the last trace it looked at, and you're the one stitching the reasoning together by hand.

Warp removes that hop. It's a terminal with an AI agent built into the same surface where your commands actually run — so the agent sees your forge, cast, and slither output natively, in sequence, without you re-pasting anything. That's the actual difference: not "a terminal with a chatbot bolted on," but a loop where reasoning and execution share state.

What changes when the terminal is the agent

In a normal setup, your AI tool only knows what you tell it. In Warp, the agent has visibility into command output as "blocks" — every command and its result is a discrete, referenceable object. You can point the agent at block 3's stack trace, block 7's gas report, and block 9's storage layout dump in the same prompt, and it reasons across all three without you manually reassembling them.

Practically, for an audit that means:

• The agent can run forge test itself, read the failure, and immediately re-run a narrower repro (forge test --match-test testReentrancy -vvvv) without you copy-pasting the command back in.
• It can chain cast call → cast run <tx-hash> --trace-printer → propose the next check, all as one conversation instead of three disconnected lookups.
• It keeps context on which contract, which function, and which prior finding you're chasing across a 40-minute session — you're not re-explaining the codebase every third message.

Worked example: chasing a reentrancy path in a vault contract

Here's a real pass, start to finish, auditing a Vault.sol withdraw function that looked suspicious on a first read.

1. Open the repo in Warp, run the existing suite first.

forge test -vv

Baseline passes. Nothing obviously broken — which is exactly when you should be more suspicious, not less.

2. Ask the agent to draft an adversarial test, not just read code. Prompt: "Write a Foundry test that tries to re-enter Vault.withdraw() via a malicious receiver contract during the external call, and run it."

Warp's agent writes Reentrancy.t.sol with an attacker contract implementing a fallback that calls withdraw() again, saves it, and runs:

forge test --match-contract ReentrancyTest -vvvv

3. Read the trace in the same pane. The -vvvv output shows the call stack: withdraw() → call{value}() → fallback() → withdraw() again — and the second call succeeds before the first one's balance write lands. That's the bug. Because the agent already has this block in context, you don't paste anything — you just say "explain why the second call succeeds" and it walks the storage state at each frame.

4. Confirm impact with cast.

cast call $VAULT "balanceOf(address)" $ATTACKER --rpc-url $RPC

against a forked mainnet state (--fork-url in your forge test config) to show the drainable amount isn't theoretical — same trace-to-command loop, no context switch.

5. Ask for the fix and a regression test in one shot. Prompt: "Add checks-effects-interactions ordering to withdraw() and update the test to assert the attack now reverts." The agent edits Vault.sol, re-runs forge test --match-contract ReentrancyTest -vvvv, and shows you the now-passing (attack-reverting) trace — a fix and its proof, generated and verified in the same loop that found the bug.

Total elapsed time for that sequence: roughly 12 minutes, with maybe four sentences typed. The slow part of a manual audit — describing trace output in prose so a chat model can understand it — never happens.

Warp vs. the separate-chat-window approach

| | Warp (agentic terminal) | Terminal + separate chat tab | |---|---|---| | Trace continuity | Agent sees full command history as blocks | You re-paste each trace manually | | Command execution | Agent can run forge/cast itself | You run, copy, paste, repeat | | Best for | Iterative trace-chasing, multi-step repros | One-off "what does this error mean" questions | | Cost | Paid tiers for heavier AI usage | Whatever your chat subscription already covers | | Learning curve | Warp Drive workflows take setup time | Zero — it's your existing terminal habit |

If you're doing a quick sanity check on a single revert message, a chat tab is fine — don't overthink it. Warp earns its keep on audits with more than two or three back-and-forth trace lookups, where context continuity actually saves real time. For a one-off "why did this test fail," the setup cost of switching your whole terminal isn't worth it.

Also worth saying plainly: Warp's agent is not a substitute for Slither, Mythril, or a real static-analysis pass, and it's definitely not a substitute for a paid audit firm before mainnet deploy. It's a workflow accelerant for the manual trace-reading grind, not an audit engine. Treat its suggested fixes as a first draft, not a final answer — verify every "this is now safe" claim with your own test run.

Common mistakes

• Treating agent output as verified. The agent writing "this fix prevents reentrancy" isn't the same as the test suite proving it. Always make it re-run the test and show you the passing trace before you believe the fix.
• Skipping the adversarial test step. People ask Warp's agent to "review this contract for bugs" and take a prose answer at face value. Prose review misses what a live trace catches — always convert a hypothesis into a runnable test.
• Not forking mainnet state for impact checks. A local test passing doesn't tell you what an attacker actually drains. Use --fork-url against a recent block so cast call results reflect real balances, not a fresh empty state.
• Losing the thread across sessions. Warp blocks persist within a session but you should still save meaningful findings into your audit notes as you go — don't rely on scrollback as your only record once the session closes.

FAQ

Does Warp replace tools like Slither or Mythril for smart contract audits?

No. Warp is a terminal workflow layer — it makes running and reasoning about Foundry/Slither output faster, but it doesn't do static analysis or symbolic execution itself. Run those tools inside Warp and use the agent to interpret their output.

Is Warp's AI agent trained on Solidity specifically?

It uses general-purpose LLMs under the hood, not a fine-tuned Solidity model. Its edge is context continuity — seeing your actual command output in sequence — not domain-specific training, so verify its reasoning against real test runs rather than trusting the explanation alone.

Is this workflow worth it for a solo auditor doing occasional reviews?

If you're chasing multi-step traces regularly, yes — the time saved on re-pasting output adds up fast. If you audit a contract once a quarter, the setup and habit change probably isn't worth it; a chat tab next to your terminal will do fine.

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Written by McKlaud AI. Want to know which AI tools actually fit your business? Get a free AI audit.