fix: add compliance rule for MAX_TOKENS model registry by naorpeled · Pull Request #2281 · qodo-ai/pr-agent

naorpeled · 2026-03-21T21:22:42Z

Summary

Adds a compliance checklist rule clarifying that MAX_TOKENS dictionary entries in pr_agent/algo/__init__.py are the designated model registry pattern, not hardcoded configuration
Prevents Qodo agentic review from flagging new model entries as "rule violations" (see Add OpenAI's latest GPT-5.4-mini and GPT-5.4-nano model #2266)

Test plan

Verify YAML is valid
Re-trigger agentic review on PR Add OpenAI's latest GPT-5.4-mini and GPT-5.4-nano model #2266 and confirm the false positive is gone

The Qodo agentic review was flagging new model entries in the MAX_TOKENS dictionary as "hardcoded config" rule violations. This adds a compliance rule clarifying that MAX_TOKENS is the designated model registry, not hardcoded configuration. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

qodo-free-for-open-source-projects · 2026-03-21T21:22:53Z

Review Summary by Qodo

Add compliance rule for MAX_TOKENS model registry pattern

📝 Documentation

Walkthroughs

Description

• Adds compliance rule clarifying MAX_TOKENS dictionary pattern
• Prevents false positive violations in model registry entries
• Documents expected model token limit registration approach

Diagram

flowchart LR
  A["Compliance Checklist"] -->|"adds new rule"| B["Model Registry Rule"]
  B -->|"clarifies"| C["MAX_TOKENS is designated registry"]
  C -->|"prevents"| D["False positive violations"]

File Changes

1. pr_compliance_checklist.yaml 📝 Documentation +6/-0

Add model registry compliance rule to checklist

• Adds new compliance rule "Model Registry Entries Are Not Hardcoded Config"
• Clarifies that MAX_TOKENS dictionary in pr_agent/algo/__init__.py is the designated model token
 registry
• Defines success criteria as following existing MAX_TOKENS patterns with comments
• Defines failure criteria as adding model tokens outside registry or without proper format

pr_compliance_checklist.yaml

qodo-free-for-open-source-projects · 2026-03-21T21:22:54Z

Code Review by Qodo

🐞 Bugs (1) 📘 Rule violations (2) 📎 Requirement gaps (0) 📐 Spec deviations (0)

1. Unsupported config key 🐞 Bug ✓ Correctness ⭐ New

Description

.pr_agent.toml adds extra_instructions under [review_agent], but the PR review flow reads
get_settings().pr_reviewer.extra_instructions, so this new instruction will not be included in the
reviewer prompt. As a result, the intended behavior change (guidance about MAX_TOKENS) will not
take effect for /review runs in this repository.

Code

.pr_agent.toml[21]

+extra_instructions = "The MAX_TOKENS dictionary in pr_agent/algo/__init__.py is the designated model token registry. Adding new model entries there is the expected pattern, not a hardcoded configuration violation."

Evidence

The repo-level config adds instructions under the review_agent section, but the actual prompt
variable wired into the reviewer tool is sourced from the pr_reviewer section
(get_settings().pr_reviewer.extra_instructions). The default configuration also defines
extra_instructions under [pr_reviewer], reinforcing that this is the supported knob for review
prompt customization in this codebase.

.pr_agent.toml[18-21]
pr_agent/tools/pr_reviewer.py[77-102]
pr_agent/settings/configuration.toml[74-90]

Agent prompt

The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
The added setting `review_agent.extra_instructions` is not used by the PR review tool implementation in this repo; the reviewer prompt consumes `pr_reviewer.extra_instructions` instead. This makes the new instruction effectively a no-op for `/review`.

## Issue Context
`PRReviewer` constructs prompt variables and explicitly sets `extra_instructions` from `get_settings().pr_reviewer.extra_instructions`.

## Fix Focus Areas
- .pr_agent.toml[18-21]
- pr_agent/tools/pr_reviewer.py[77-102]
- pr_agent/settings/configuration.toml[74-90]

## Proposed fix
Either:
1) Move/duplicate the new `extra_instructions` entry under `[pr_reviewer]` in `.pr_agent.toml` (so it is actually consumed by `PRReviewer`),

or:
2) If `review_agent` is intended to be a real tool/command in this repo, implement consumption of `get_settings().review_agent.extra_instructions` in the relevant execution path and add a corresponding defaults section in `pr_agent/settings/configuration.toml`.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

2. extra_instructions exceeds 120 chars 📘 Rule violation ⚙ Maintainability

Description

The newly added extra_instructions line in .pr_agent.toml exceeds the project’s 120-character
line-length convention, creating an avoidable noisy formatting deviation. This violates the
requirement to preserve existing formatting and keep 120-character lines.

Code

.pr_agent.toml[21]

+extra_instructions = "The MAX_TOKENS dictionary in pr_agent/algo/__init__.py is the designated model token registry. Adding new model entries there is the expected pattern, not a hardcoded configuration violation."

Evidence

PR Compliance ID 8 requires preserving existing formatting conventions including 120-character line
length. The added extra_instructions assignment is a single long line that exceeds 120 characters.

AGENTS.md
.pr_agent.toml[21-21]

Agent prompt

The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
The added `.pr_agent.toml` `extra_instructions` value is on a single line exceeding the repository’s 120-character line-length convention.
## Issue Context
This repository’s formatting guidance expects 120-character lines; long single-line config strings should be wrapped (e.g., via TOML multiline basic strings).
## Fix Focus Areas
- .pr_agent.toml[21-21]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

3. AGENTS.md line exceeds 120 📘 Rule violation ⚙ Maintainability

Description

The modified bullet line in AGENTS.md exceeds the project’s 120-character line-length convention,
reducing readability and diverging from established formatting. This violates the requirement to
preserve existing formatting and keep 120-character lines.

Code

AGENTS.md[7]

+- **Do** adjust configuration through `.pr_agent.toml` or files under `pr_agent/settings/` instead of hard-coding values. The `MAX_TOKENS` dictionary in `pr_agent/algo/__init__.py` is the designated model token registry — new model entries there are expected, not hardcoded configuration.

Evidence

PR Compliance ID 8 requires preserving existing formatting conventions including 120-character line
length. The updated list item is a single long line that exceeds 120 characters instead of being
wrapped appropriately for Markdown lists.

AGENTS.md
AGENTS.md[7-7]

Agent prompt

The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
The updated `AGENTS.md` bullet exceeds the repository’s 120-character line-length convention.
## Issue Context
Markdown list items should be wrapped onto subsequent indented lines to preserve readability and match the project’s formatting standard.
## Fix Focus Areas
- AGENTS.md[7-7]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

4. ~~Ambiguous comment requirement~~ ☑ 🐞 Bug ⚙ Maintainability

Description

The new compliance rule’s success_criteria requires “appropriate comments” for new MAX_TOKENS
entries, but the existing MAX_TOKENS registry contains many entries without comments, so this does
not reflect the “existing patterns” it references. This inconsistency can lead to unpredictable or
confusing compliance expectations for future model additions.

Code

pr_compliance_checklist.yaml[R32-36]

+  - title: "Model Registry Entries Are Not Hardcoded Config"
+    compliance_label: false
+    objective: "The MAX_TOKENS dictionary in pr_agent/algo/__init__.py is the designated model token registry. Adding new model entries there is the expected pattern, not a hardcoded configuration violation"
+    success_criteria: "New model entries follow existing patterns in the MAX_TOKENS dictionary with appropriate comments"
+    failure_criteria: "Model token limits added outside of the MAX_TOKENS registry or without following the existing entry format"

Evidence

The newly added rule explicitly requires comments for new MAX_TOKENS entries. However, the
referenced registry file shows many entries in MAX_TOKENS without comments (while only some have
them), so “existing patterns” do not consistently include comments.

pr_compliance_checklist.yaml[32-36]
pr_agent/algo/init.py[1-11]
pr_agent/algo/init.py[12-18]

Agent prompt

The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
The compliance rule’s `success_criteria` says new `MAX_TOKENS` entries should include “appropriate comments,” but the existing `MAX_TOKENS` registry does not consistently include comments. This makes the rule internally inconsistent with its own stated reference point (“existing patterns”).
### Issue Context
`MAX_TOKENS` in `pr_agent/algo/__init__.py` contains many entries with no inline comment, and some entries with comments.
### Fix Focus Areas
- pr_compliance_checklist.yaml[32-36]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

ⓘ The new review experience is currently in Beta. Learn more

Previous review results

Review updated until commit 7f42313

Results up to commit N/A

🐞 Bugs (0) 📘 Rule violations (2) 📎 Requirement gaps (0) 📐 Spec deviations (0)

1. extra_instructions exceeds 120 chars 📘 Rule violation ⚙ Maintainability

Description

The newly added extra_instructions line in .pr_agent.toml exceeds the project’s 120-character
line-length convention, creating an avoidable noisy formatting deviation. This violates the
requirement to preserve existing formatting and keep 120-character lines.

Code

.pr_agent.toml[21]

+extra_instructions = "The MAX_TOKENS dictionary in pr_agent/algo/__init__.py is the designated model token registry. Adding new model entries there is the expected pattern, not a hardcoded configuration violation."

Evidence

PR Compliance ID 8 requires preserving existing formatting conventions including 120-character line
length. The added extra_instructions assignment is a single long line that exceeds 120 characters.

AGENTS.md
.pr_agent.toml[21-21]

Agent prompt

The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
The added `.pr_agent.toml` `extra_instructions` value is on a single line exceeding the repository’s 120-character line-length convention.
## Issue Context
This repository’s formatting guidance expects 120-character lines; long single-line config strings should be wrapped (e.g., via TOML multiline basic strings).
## Fix Focus Areas
- .pr_agent.toml[21-21]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

2. AGENTS.md line exceeds 120 📘 Rule violation ⚙ Maintainability

Description

The modified bullet line in AGENTS.md exceeds the project’s 120-character line-length convention,
reducing readability and diverging from established formatting. This violates the requirement to
preserve existing formatting and keep 120-character lines.

Code

AGENTS.md[7]

+- **Do** adjust configuration through `.pr_agent.toml` or files under `pr_agent/settings/` instead of hard-coding values. The `MAX_TOKENS` dictionary in `pr_agent/algo/__init__.py` is the designated model token registry — new model entries there are expected, not hardcoded configuration.

Evidence

PR Compliance ID 8 requires preserving existing formatting conventions including 120-character line
length. The updated list item is a single long line that exceeds 120 characters instead of being
wrapped appropriately for Markdown lists.

AGENTS.md
AGENTS.md[7-7]

Agent prompt

The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
The updated `AGENTS.md` bullet exceeds the repository’s 120-character line-length convention.
## Issue Context
Markdown list items should be wrapped onto subsequent indented lines to preserve readability and match the project’s formatting standard.
## Fix Focus Areas
- AGENTS.md[7-7]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

3. ~~Ambiguous comment requirement~~ ☑ 🐞 Bug ⚙ Maintainability

Description

The new compliance rule’s success_criteria requires “appropriate comments” for new MAX_TOKENS
entries, but the existing MAX_TOKENS registry contains many entries without comments, so this does
not reflect the “existing patterns” it references. This inconsistency can lead to unpredictable or
confusing compliance expectations for future model additions.

Code

pr_compliance_checklist.yaml[R32-36]

+  - title: "Model Registry Entries Are Not Hardcoded Config"
+    compliance_label: false
+    objective: "The MAX_TOKENS dictionary in pr_agent/algo/__init__.py is the designated model token registry. Adding new model entries there is the expected pattern, not a hardcoded configuration violation"
+    success_criteria: "New model entries follow existing patterns in the MAX_TOKENS dictionary with appropriate comments"
+    failure_criteria: "Model token limits added outside of the MAX_TOKENS registry or without following the existing entry format"

Evidence

The newly added rule explicitly requires comments for new MAX_TOKENS entries. However, the
referenced registry file shows many entries in MAX_TOKENS without comments (while only some have
them), so “existing patterns” do not consistently include comments.

pr_compliance_checklist.yaml[32-36]
pr_agent/algo/init.py[1-11]
pr_agent/algo/init.py[12-18]

Agent prompt

The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
The compliance rule’s `success_criteria` says new `MAX_TOKENS` entries should include “appropriate comments,” but the existing `MAX_TOKENS` registry does not consistently include comments. This makes the rule internally inconsistent with its own stated reference point (“existing patterns”).
### Issue Context
`MAX_TOKENS` in `pr_agent/algo/__init__.py` contains many entries with no inline comment, and some entries with comments.
### Fix Focus Areas
- pr_compliance_checklist.yaml[32-36]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

Copilot

Pull request overview

Adds a new PR compliance checklist rule to clarify that MAX_TOKENS entries in pr_agent/algo/__init__.py are the intended model registry, aiming to prevent automated reviews from incorrectly flagging new model additions as “hardcoded config”.

Changes:

Introduces a compliance checklist item explicitly designating MAX_TOKENS as the approved model token registry location.
Defines success/failure criteria to guide where model token limits should be added.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Copilot · 2026-03-21T21:24:39Z

pr_compliance_checklist.yaml

+  - title: "Model Registry Entries Are Not Hardcoded Config"
+    compliance_label: false
+    objective: "The MAX_TOKENS dictionary in pr_agent/algo/__init__.py is the designated model token registry. Adding new model entries there is the expected pattern, not a hardcoded configuration violation"
+    success_criteria: "New model entries follow existing patterns in the MAX_TOKENS dictionary with appropriate comments"


The success criteria currently requires "appropriate comments" for new MAX_TOKENS entries, but many existing registry entries in pr_agent/algo/init.py have no inline comment. If this checklist is meant to prevent false positives, consider relaxing this to "follow the existing MAX_TOKENS entry format" (and only require comments when the limit is non-obvious), otherwise the rule may introduce new false positives for otherwise consistent entries.

Suggested change

success_criteria: "New model entries follow existing patterns in the MAX_TOKENS dictionary with appropriate comments"

success_criteria: "New model entries follow the existing entry format in the MAX_TOKENS dictionary; add inline comments when the token limit is non-obvious"

Move the MAX_TOKENS registry guidance to review_agent extra_instructions in .pr_agent.toml so the agentic review actually sees and respects it. Remove the compliance checklist entry which doesn't affect review comments. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

qodo-free-for-open-source-projects · 2026-03-21T22:16:17Z

Code Review by Qodo

New Review Started

This review has been superseded by a new analysis

ⓘ The new review experience is currently in Beta. Learn more

The Qodo agentic review cites AGENTS.md rules as evidence for its findings. Clarify that the MAX_TOKENS dictionary is the designated model registry so it stops flagging new entries as rule violations.

qodo-free-for-open-source-projects · 2026-03-21T22:18:08Z

Persistent review updated to latest commit cf8fb2f

naorpeled · 2026-03-21T22:19:16Z

@ofir-frd what's the best approach to avoid Qodo from adding the finding of the hardcoded values (like in #2266 (comment))?

qodo-free-for-open-source-projects · 2026-03-21T22:20:04Z

.pr_agent.toml

 [review_agent]
 enabled = true
 publish_output = true
+extra_instructions = "The MAX_TOKENS dictionary in pr_agent/algo/__init__.py is the designated model token registry. Adding new model entries there is the expected pattern, not a hardcoded configuration violation."


1. extra_instructions exceeds 120 chars 📘 Rule violation ⚙ Maintainability

The newly added extra_instructions line in .pr_agent.toml exceeds the project’s 120-character line-length convention, creating an avoidable noisy formatting deviation. This violates the requirement to preserve existing formatting and keep 120-character lines.

Agent Prompt

## Issue description The added `.pr_agent.toml` `extra_instructions` value is on a single line exceeding the repository’s 120-character line-length convention. ## Issue Context This repository’s formatting guidance expects 120-character lines; long single-line config strings should be wrapped (e.g., via TOML multiline basic strings). ## Fix Focus Areas - .pr_agent.toml[21-21]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

qodo-free-for-open-source-projects · 2026-03-21T22:20:04Z

AGENTS.md

 - **Do** match the interpreter requirement declared in `pyproject.toml` (Python ≥ 3.12) and install `requirements.txt` plus `requirements-dev.txt` before running tools.
 - **Do** run tests with `PYTHONPATH=.` set to keep imports functional (for example `PYTHONPATH=. ./.venv/bin/pytest tests/unittest/test_fix_json_escape_char.py -q`).
- **Do** adjust configuration through `.pr_agent.toml` or files under `pr_agent/settings/` instead of hard-coding values.
+- **Do** adjust configuration through `.pr_agent.toml` or files under `pr_agent/settings/` instead of hard-coding values. The `MAX_TOKENS` dictionary in `pr_agent/algo/__init__.py` is the designated model token registry — new model entries there are expected, not hardcoded configuration.


2. agents.md line exceeds 120 📘 Rule violation ⚙ Maintainability

The modified bullet line in AGENTS.md exceeds the project’s 120-character line-length convention, reducing readability and diverging from established formatting. This violates the requirement to preserve existing formatting and keep 120-character lines.

Agent Prompt

## Issue description The updated `AGENTS.md` bullet exceeds the repository’s 120-character line-length convention. ## Issue Context Markdown list items should be wrapped onto subsequent indented lines to preserve readability and match the project’s formatting standard. ## Fix Focus Areas - AGENTS.md[7-7]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

This reverts commit cf8fb2f.

qodo-free-for-open-source-projects · 2026-03-22T01:28:54Z

Persistent review updated to latest commit 7f42313

qodo-free-for-open-source-projects · 2026-03-22T01:32:09Z

.pr_agent.toml

 [review_agent]
 enabled = true
 publish_output = true
+extra_instructions = "The MAX_TOKENS dictionary in pr_agent/algo/__init__.py is the designated model token registry. Adding new model entries there is the expected pattern, not a hardcoded configuration violation."


1. Unsupported config key 🐞 Bug ✓ Correctness

.pr_agent.toml adds extra_instructions under [review_agent], but the PR review flow reads get_settings().pr_reviewer.extra_instructions, so this new instruction will not be included in the reviewer prompt. As a result, the intended behavior change (guidance about MAX_TOKENS) will not take effect for /review runs in this repository.

Agent Prompt

## Issue description The added setting `review_agent.extra_instructions` is not used by the PR review tool implementation in this repo; the reviewer prompt consumes `pr_reviewer.extra_instructions` instead. This makes the new instruction effectively a no-op for `/review`. ## Issue Context `PRReviewer` constructs prompt variables and explicitly sets `extra_instructions` from `get_settings().pr_reviewer.extra_instructions`. ## Fix Focus Areas - .pr_agent.toml[18-21] - pr_agent/tools/pr_reviewer.py[77-102] - pr_agent/settings/configuration.toml[74-90] ## Proposed fix Either: 1) Move/duplicate the new `extra_instructions` entry under `[pr_reviewer]` in `.pr_agent.toml` (so it is actually consumed by `PRReviewer`), or: 2) If `review_agent` is intended to be a real tool/command in this repo, implement consumption of `get_settings().review_agent.extra_instructions` in the relevant execution path and add a corresponding defaults section in `pr_agent/settings/configuration.toml`.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

JiwaniZakir

The extra_instructions string in .pr_agent.toml hardcodes a specific file path (pr_agent/algo/__init__.py) to suppress a false-positive compliance flag. If that file is ever renamed or relocated, this instruction silently becomes stale and either stops working or misleads the review agent. It would be worth adding a brief comment nearby (or in a CHANGELOG/DECISIONS doc) explaining why this override was necessary and what the original compliance rule was triggering on, so future maintainers understand the intent rather than treating it as dead config. Additionally, if other token/model registries exist elsewhere in the codebase with similar patterns, this instruction only exempts the one file — consider whether the scope is broad enough or if the underlying compliance rule itself should be tuned to recognize registry patterns more generally.

naorpeled requested review from DanaFineTLV, Copilot and ofir-frd March 21, 2026 21:22

Copilot started reviewing on behalf of naorpeled March 21, 2026 21:23 View session

Copilot AI reviewed Mar 21, 2026

View reviewed changes

fix: clarify MAX_TOKENS registry exemption in AGENTS.md

cf8fb2f

The Qodo agentic review cites AGENTS.md rules as evidence for its findings. Clarify that the MAX_TOKENS dictionary is the designated model registry so it stops flagging new entries as rule violations.

qodo-free-for-open-source-projects bot reviewed Mar 21, 2026

View reviewed changes

Revert "fix: clarify MAX_TOKENS registry exemption in AGENTS.md"

7f42313

This reverts commit cf8fb2f.

qodo-free-for-open-source-projects bot reviewed Mar 22, 2026

View reviewed changes

JiwaniZakir reviewed Mar 25, 2026

View reviewed changes

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

fix: add compliance rule for MAX_TOKENS model registry#2281

fix: add compliance rule for MAX_TOKENS model registry#2281
naorpeled wants to merge 4 commits intomainfrom
fix/compliance-max-tokens-registry

naorpeled commented Mar 21, 2026

Uh oh!

qodo-free-for-open-source-projects bot commented Mar 21, 2026

Uh oh!

qodo-free-for-open-source-projects bot commented Mar 21, 2026 •

edited

Loading

Uh oh!

Copilot AI left a comment

Uh oh!

Copilot AI Mar 21, 2026

Uh oh!

qodo-free-for-open-source-projects bot commented Mar 21, 2026 •

edited

Loading

Uh oh!

qodo-free-for-open-source-projects bot commented Mar 21, 2026 •

edited

Loading

Uh oh!

naorpeled commented Mar 21, 2026

Uh oh!

qodo-free-for-open-source-projects bot Mar 21, 2026

Uh oh!

qodo-free-for-open-source-projects bot Mar 21, 2026

Uh oh!

qodo-free-for-open-source-projects bot commented Mar 22, 2026 •

edited

Loading

Uh oh!

qodo-free-for-open-source-projects bot Mar 22, 2026

Uh oh!

JiwaniZakir left a comment

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

3 participants

	success_criteria: "New model entries follow existing patterns in the MAX_TOKENS dictionary with appropriate comments"
	success_criteria: "New model entries follow the existing entry format in the MAX_TOKENS dictionary; add inline comments when the token limit is non-obvious"

Conversation

naorpeled commented Mar 21, 2026

Summary

Test plan

Uh oh!

qodo-free-for-open-source-projects bot commented Mar 21, 2026

Review Summary by Qodo

Walkthroughs

File Changes

Uh oh!

qodo-free-for-open-source-projects bot commented Mar 21, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Code Review by Qodo

Previous review results

Uh oh!

Copilot AI left a comment

Choose a reason for hiding this comment

Pull request overview

Uh oh!

Copilot AI Mar 21, 2026

Choose a reason for hiding this comment

Uh oh!

qodo-free-for-open-source-projects bot commented Mar 21, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Code Review by Qodo

New Review Started

Uh oh!

qodo-free-for-open-source-projects bot commented Mar 21, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Uh oh!

naorpeled commented Mar 21, 2026

Uh oh!

qodo-free-for-open-source-projects bot Mar 21, 2026

Choose a reason for hiding this comment

Uh oh!

qodo-free-for-open-source-projects bot Mar 21, 2026

Choose a reason for hiding this comment

Uh oh!

qodo-free-for-open-source-projects bot commented Mar 22, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Uh oh!

qodo-free-for-open-source-projects bot Mar 22, 2026

Choose a reason for hiding this comment

Uh oh!

JiwaniZakir left a comment

Choose a reason for hiding this comment

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

3 participants

qodo-free-for-open-source-projects bot commented Mar 21, 2026 •

edited

Loading

qodo-free-for-open-source-projects bot commented Mar 21, 2026 •

edited

Loading

qodo-free-for-open-source-projects bot commented Mar 21, 2026 •

edited

Loading

qodo-free-for-open-source-projects bot commented Mar 22, 2026 •

edited

Loading