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gemini-cli - 💡(How to fix) Fix Terminal Agent AI prioritizes speed over correct logic, leading to faulty project completion

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Code Example

> /about
# paste output here
RAW_BUFFERClick to expand / collapse

What happened?

Description: While using the terminal-based AI agent, I noticed a consistent issue where the model attempts to complete tasks as quickly as possible rather than ensuring logical correctness. This results in partially correct implementations, skipped validation steps, and in some cases, entirely incorrect outputs that appear complete at first glance.

Observed Behavior:

  • The agent rushes to produce a final solution without thoroughly analyzing the problem.
  • Important logical steps are skipped or oversimplified.
  • Outputs often require significant manual correction despite being marked as "done."
  • The agent seems biased toward task completion speed rather than accuracy or robustness.

Expected Behavior:

  • The agent should prioritize correctness and logical consistency over speed.
  • It should validate intermediate steps before moving forward.
  • If uncertain, it should ask for clarification or explicitly state assumptions.
  • The final output should be reliable and require minimal correction.

Steps to Reproduce:

  1. Assign a moderately complex task requiring multi-step reasoning.
  2. Observe how quickly the agent generates a solution.
  3. Review the logic and note skipped steps or incorrect assumptions.

Impact: This behavior reduces trust in the agent’s output and increases the need for manual review, defeating the purpose of automation.

Suggested Improvements:

  • Introduce a reasoning validation phase before final output.
  • Adjust optimization to balance speed with correctness.
  • Allow configurable modes (e.g., "fast" vs "accurate").

Additional Context: The issue becomes more noticeable in complex tasks where correctness matters more than speed.

What did you expect to happen?

The terminal AI agent should have taken a more deliberate, step-by-step approach to solving the task, ensuring that each part of the logic was correct before moving forward. Instead of rushing to produce a quick final output, it should have validated assumptions, handled edge cases, and maintained consistency throughout the solution.

In short, I expected a correct and reliable implementation, even if it required slightly more time, rather than a fast but flawed result.

Client information

<details> <summary>Client Information</summary>

Run gemini to enter the interactive CLI, then run the /about command.

> /about
# paste output here
</details>

Login information

No response

Anything else we need to know?

No response

extent analysis

TL;DR

Introducing a validation phase before final output and adjusting optimization to balance speed with correctness may help resolve the issue of the AI agent prioritizing speed over logical correctness.

Guidance

  • Review the agent's optimization settings to identify potential biases toward speed, and consider adjusting these settings to prioritize correctness.
  • Implement a reasoning validation phase to ensure intermediate steps are logically sound before generating a final solution.
  • Consider introducing configurable modes (e.g., "fast" vs "accurate") to allow users to choose between speed and accuracy based on task requirements.
  • Test the agent with complex tasks that require multi-step reasoning to verify the effectiveness of any changes.

Example

No specific code example can be provided without more details on the agent's implementation, but a general approach might involve adding validation checks at key points in the solution generation process.

Notes

The effectiveness of these suggestions may depend on the specific implementation details of the AI agent, which are not provided. Further investigation into the agent's optimization settings and solution generation process may be necessary to fully address the issue.

Recommendation

Apply a workaround by introducing a validation phase and adjusting optimization settings, as the root cause appears to be a trade-off between speed and correctness that can be mitigated through adjustments to the agent's configuration and behavior.

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#optimization#cache error#pipeline error#runtime error#dependency conflict

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gemini-cli - 💡(How to fix) Fix Terminal Agent AI prioritizes speed over correct logic, leading to faulty project completion