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Code Quality

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AI PR Reviews

AI PR Reviews

AI PR Reviews

Without Noise

Without Noise

Without Noise

Faster, more thorough reviews that prevent issues before merge.

Overalls PRs

Last 90 days

204 Open

Velocity Score

-0.8

2.4/day

Comment Acceptance

+ 12%

67%

PRs

30 total

PRs Merger

May 1

May 15

June 1

June 15

July 1

July 15

Aug 1

0

15

30

45

60

Team Average Scores Over Time

Repository

Open PRs

Security

frontend-app

11

2

Critical

5

Medium

3

Low

View PRs

frontend-app

10

1

Critical

5

Medium

3

Low

View PRs

frontend-app

9

3

Critical

5

Medium

3

Low

View PRs

Overalls PRs

Last 90 days

204 Open

Velocity Score

-0.8

2.4/day

Comment Acceptance

+ 12%

67%

PRs

30 total

PRs Merger

May 1

May 15

June 1

June 15

July 1

July 15

Aug 1

0

15

30

45

60

Team Average Scores Over Time

Repository

Open PRs

Security

frontend-app

11

2

Critical

5

Medium

3

Low

View PRs

frontend-app

10

1

Critical

5

Medium

3

Low

View PRs

frontend-app

9

3

Critical

5

Medium

3

Low

View PRs

Overalls PRs

Last 90 days

204 Open

Velocity Score

-0.8

2.4/day

Comment Acceptance

+ 12%

67%

PRs

30 total

PRs Merger

May 1

May 15

June 1

June 15

July 1

July 15

Aug 1

0

15

30

45

60

Team Average Scores Over Time

Repository

Open PRs

Security

frontend-app

11

2

Critical

5

Medium

3

Low

View PRs

frontend-app

10

1

Critical

5

Medium

3

Low

View PRs

frontend-app

9

3

Critical

5

Medium

3

Low

View PRs

Full-repo awareness

Sees entire codebase impact

Full-repo awareness

Sees entire codebase impact

Full-repo awareness

Sees entire codebase impact

Automated quality gates

Consistent security/quality enforcement

Automated quality gates

Consistent security/quality enforcement

Automated quality gates

Consistent security/quality enforcement

One-Click Fixes

Actionable suggestions, not generic comments

One-Click Fixes

Actionable suggestions, not generic comments

One-Click Fixes

Actionable suggestions, not generic comments

Catch Bugs Within Your IDE,

Catch Bugs Within Your IDE,

Catch Bugs Within Your IDE,

Auto remedite.

Auto remedite.

Auto remedite.

Suggested code:

+

latest_result = state["search_history"] [-1]

Original code:

-

latest_result = state["search_history"] [o]

Changes:

In ana lyze_search_results, the latest_result is incorrectly accessing the first element of search history with index O, but sh

Entelligence Al

Entelligence Al Code Review

Suggested code:

-

new_state["last_search_query"] = query

-

new_state["last_search_query"] = query

-

new_state["last_search_error"] = str(e)

+

new_state ["last_search_query"] = query

+

new_state["last_search_error"] = str(e)

pr_reviewer

Click on the fiie name to view the suggestions as

comments

Reformatted model docstring for documentation

consistency (pr_reviewer/models.py)

Improved middleware for logging, error handling, and

added giobat requeat timeouts

(roor/diangoMiddieware.py)

Enhanced logging and switched to validated data for

user/org IDs in views ipr_reviewer/views.py)

Refactored feature design agent for clarity, error

handling, and state management

(pr_reviewer/feature_design_agent.py)

Summary

Entelligence Al

feature_design-agent.py

(4)

Can you review my latest code changes and suggest improvements?

new_state

return

212

211

latest_result = state ["search_history'"'] [0]

219

state

return

218

"search_history");

not state

if

"""Analyze the latest search results and update the dependency graph."""

217

216

(

def

analyze_search_results

state:

AnalysisState) > AnalysisState:

215

214

213

Suggested code:

+

latest_result = state["search_history"] [-1]

Original code:

-

latest_result = state["search_history"] [o]

Changes:

In ana lyze_search_results, the latest_result is incorrectly accessing the first element of search history with index O, but sh

Entelligence Al

Entelligence Al Code Review

Suggested code:

-

new_state["last_search_query"] = query

-

new_state["last_search_query"] = query

-

new_state["last_search_error"] = str(e)

+

new_state ["last_search_query"] = query

+

new_state["last_search_error"] = str(e)

pr_reviewer

Click on the fiie name to view the suggestions as

comments

Reformatted model docstring for documentation

consistency (pr_reviewer/models.py)

Improved middleware for logging, error handling, and

added giobat requeat timeouts

(roor/diangoMiddieware.py)

Enhanced logging and switched to validated data for

user/org IDs in views ipr_reviewer/views.py)

Refactored feature design agent for clarity, error

handling, and state management

(pr_reviewer/feature_design_agent.py)

Summary

Entelligence Al

feature_design-agent.py

(4)

Can you review my latest code changes and suggest improvements?

new_state

return

212

211

latest_result = state ["search_history'"'] [0]

219

state

return

218

"search_history");

not state

if

"""Analyze the latest search results and update the dependency graph."""

217

216

(

def

analyze_search_results

state:

AnalysisState) > AnalysisState:

215

214

213

works with VS Code, Cursor, and Windsurf

Review in Flow

Code, review, and commit—all without leaving your IDE. EntelligenceAI works where you work, within your existing tooling and flow state.

Review in Flow

Code, review, and commit—all without leaving your IDE. EntelligenceAI works where you work, within your existing tooling and flow state.

Review in Flow

Code, review, and commit—all without leaving your IDE. EntelligenceAI works where you work, within your existing tooling and flow state.

Apply Suggestions with One Click

Batch-apply production-ready fixes across every impacted file, zero manual edits

Apply Suggestions with One Click

Batch-apply production-ready fixes across every impacted file, zero manual edits

Apply Suggestions with One Click

Batch-apply production-ready fixes across every impacted file, zero manual edits

Guideline-Driven Feedback

Thumbs-up/down instantly refine future reviews against your repo's published rules

Guideline-Driven Feedback

Thumbs-up/down instantly refine future reviews against your repo's published rules

Guideline-Driven Feedback

Thumbs-up/down instantly refine future reviews against your repo's published rules

Suggested code:

+

latest_result = state["search_history"] [-1]

Original code:

-

latest_result = state["search_history"] [o]

Changes:

In ana lyze_search_results, the latest_result is incorrectly accessing the first element of search history with index O, but sh

Entelligence Al

Entelligence Al Code Review

Suggested code:

-

new_state["last_search_query"] = query

-

new_state["last_search_query"] = query

-

new_state["last_search_error"] = str(e)

+

new_state ["last_search_query"] = query

+

new_state["last_search_error"] = str(e)

pr_reviewer

Click on the fiie name to view the suggestions as

comments

Reformatted model docstring for documentation

consistency (pr_reviewer/models.py)

Improved middleware for logging, error handling, and

added giobat requeat timeouts

(roor/diangoMiddieware.py)

Enhanced logging and switched to validated data for

user/org IDs in views ipr_reviewer/views.py)

Refactored feature design agent for clarity, error

handling, and state management

(pr_reviewer/feature_design_agent.py)

Summary

Entelligence Al

feature_design-agent.py

(4)

Can you review my latest code changes and suggest improvements?

new_state

return

212

211

latest_result = state ["search_history'"'] [0]

219

state

return

218

"search_history");

not state

if

"""Analyze the latest search results and update the dependency graph."""

217

216

(

def

analyze_search_results

state:

AnalysisState) > AnalysisState:

215

214

213

Suggested code:

+

latest_result = state["search_history"] [-1]

Original code:

-

latest_result = state["search_history"] [o]

Changes:

In ana lyze_search_results, the latest_result is incorrectly accessing the first element of search history with index O, but sh

Entelligence Al

Entelligence Al Code Review

Suggested code:

-

new_state["last_search_query"] = query

-

new_state["last_search_query"] = query

-

new_state["last_search_error"] = str(e)

+

new_state ["last_search_query"] = query

+

new_state["last_search_error"] = str(e)

pr_reviewer

Click on the fiie name to view the suggestions as

comments

Reformatted model docstring for documentation

consistency (pr_reviewer/models.py)

Improved middleware for logging, error handling, and

added giobat requeat timeouts

(roor/diangoMiddieware.py)

Enhanced logging and switched to validated data for

user/org IDs in views ipr_reviewer/views.py)

Refactored feature design agent for clarity, error

handling, and state management

(pr_reviewer/feature_design_agent.py)

Summary

Entelligence Al

feature_design-agent.py

(4)

Can you review my latest code changes and suggest improvements?

new_state

return

212

211

latest_result = state ["search_history'"'] [0]

219

state

return

218

"search_history");

not state

if

"""Analyze the latest search results and update the dependency graph."""

217

216

(

def

analyze_search_results

state:

AnalysisState) > AnalysisState:

215

214

213

Why use Entelligence for

Why use Entelligence for

Why use Entelligence for

Code Quality?

Code Quality?

Code Quality?

Entelligence AI

Entelligence AI

Entelligence AI

Contextual reviews aligned with product goals and component interactions.

Other Platforms

Other Platforms

Other Platforms

Line-by-line suggestions that miss context and create noise.

Your questions,

Your questions,

Your questions,

Decoded

Decoded

Decoded

What makes Entelligence different?

Unlike tools that just flag issues, Entelligence understands context — detecting, explaining, and fixing problems while aligning with product goals and team standards.

Does it replace human reviewers?

No. It amplifies them. Entelligence handles repetitive checks so engineers can focus on architecture, logic, and innovation.

What tools does it integrate with?

It fits right into your workflow — GitHub, GitLab, Jira, Linear, Slack, and more. No setup friction, no context switching.

How secure is my code?

Your code never leaves your environment. Entelligence uses encrypted processing and complies with top industry standards like SOC 2 and HIPAA.

Who is it built for?

Fast-growing engineering teams that want to scale quality, security, and velocity without adding more manual reviews or overhead.

What makes Entelligence different?

Unlike tools that just flag issues, Entelligence understands context — detecting, explaining, and fixing problems while aligning with product goals and team standards.

Does it replace human reviewers?

No. It amplifies them. Entelligence handles repetitive checks so engineers can focus on architecture, logic, and innovation.

What tools does it integrate with?

It fits right into your workflow — GitHub, GitLab, Jira, Linear, Slack, and more. No setup friction, no context switching.

How secure is my code?

Your code never leaves your environment. Entelligence uses encrypted processing and complies with top industry standards like SOC 2 and HIPAA.

Who is it built for?

Fast-growing engineering teams that want to scale quality, security, and velocity without adding more manual reviews or overhead.

What makes Entelligence different?
Does it replace human reviewers?
What tools does it integrate with?
How secure is my code?
Who is it built for?

Refer your manager to

hire Entelligence.

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