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gemini-cli - 💡(How to fix) Fix Critical Reliability Issues and Persistent Hallucinations in Gemini CLI/API – Urgent Feedback [1 comments, 2 participants]

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google-gemini/gemini-cli#25931•Fetched 2026-04-25 06:22:13
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What happened?

To Whom It May Concern,

I am writing to formally express my extreme dissatisfaction with the performance of the Gemini CLI and its underlying models. As a software engineer and founder of a consultancy firm focusing on high-performance architectures and autonomous agent ecosystems, I rely on these tools for mission-critical development.

The current state of the CLI is unacceptable due to the following reasons:

Systemic Hallucinations: The model consistently provides factually incorrect technical documentation, non-existent API parameters, and deprecated library references as if they were current.

Operational Friction: Instead of accelerating my workflow, I am forced to spend more time fact-checking the model’s "lies" than actually writing code. This defeats the entire purpose of a developer-centric AI tool.

Consistency Failures: The model fails to adhere to strict technical constraints provided in the prompts, leading to broken logic in complex multi-agent deployments.

When a tool marketed for developers provides false information at every stage of a technical task, it ceases to be a product and becomes a liability. I expect a significant improvement in the grounding of technical responses and better alignment with real-world documentation.

As a professional in the AI ecosystem, I am closely monitoring the reliability of these tools to decide on the long-term viability of Google’s AI infrastructure for my proprietary projects.

Sincerely,

Zeki Founder, ZekiKod

What did you expect to happen?

To Whom It May Concern,

I am writing to formally express my extreme dissatisfaction with the performance of the Gemini CLI and its underlying models. As a software engineer and founder of a consultancy firm focusing on high-performance architectures and autonomous agent ecosystems, I rely on these tools for mission-critical development.

The current state of the CLI is unacceptable due to the following reasons:

Systemic Hallucinations: The model consistently provides factually incorrect technical documentation, non-existent API parameters, and deprecated library references as if they were current.

Operational Friction: Instead of accelerating my workflow, I am forced to spend more time fact-checking the model’s "lies" than actually writing code. This defeats the entire purpose of a developer-centric AI tool.

Consistency Failures: The model fails to adhere to strict technical constraints provided in the prompts, leading to broken logic in complex multi-agent deployments.

When a tool marketed for developers provides false information at every stage of a technical task, it ceases to be a product and becomes a liability. I expect a significant improvement in the grounding of technical responses and better alignment with real-world documentation.

As a professional in the AI ecosystem, I am closely monitoring the reliability of these tools to decide on the long-term viability of Google’s AI infrastructure for my proprietary projects.

Sincerely,

Zeki Founder, ZekiKod

Client information

  • CLI Version: 0.39.0
  • Git Commit: 398f78dca
  • Session ID: 2d522306-4dc6-4fdc-bcd0-ad8aec00efbb
  • Operating System: win32 v24.13.1
  • Sandbox Environment: no sandbox
  • Model Version: auto-gemini-3
  • Auth Type: oauth-personal
  • Memory Usage: 588.3 MB
  • Terminal Name: Unknown
  • Terminal Background: Unknown
  • Kitty Keyboard Protocol: Unsupported

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No response

Anything else we need to know?

No response

extent analysis

TL;DR

The Gemini CLI's incorrect technical documentation and non-existent API parameters may be due to outdated or poorly trained models, requiring an update or retraining of the underlying models.

Guidance

  • Verify the model version (auto-gemini-3) and check for any available updates to the Gemini CLI (currently on version 0.39.0) to ensure the latest models are being used.
  • Review the provided technical constraints and prompts to identify potential areas where the model may be failing to adhere to strict technical requirements.
  • Consider providing additional feedback or reporting specific instances of "systemic hallucinations" to help improve the model's training data and accuracy.
  • Evaluate the feasibility of using alternative tools or workflows to mitigate the impact of the Gemini CLI's performance issues.

Notes

The provided information does not include specific details about the model's training data or the exact nature of the "systemic hallucinations," which may be necessary to fully diagnose and address the issue.

Recommendation

Apply workaround: Given the limitations of the current Gemini CLI version and model, it may be necessary to implement temporary workarounds, such as manual fact-checking or using alternative tools, until an updated version with improved models is available.

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gemini-cli - 💡(How to fix) Fix Critical Reliability Issues and Persistent Hallucinations in Gemini CLI/API – Urgent Feedback [1 comments, 2 participants]