You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Analysis of 34 Copilot-authored PRs merged into github/gh-aw in the last 24 hours (2026-02-19T10:25Z → 2026-02-20T10:25Z). NLP techniques applied to PR titles and bodies (no inline conversation comments were present in the dataset).
Note on data: PR comment/review files were empty for all 34 PRs. Analysis is based on PR title and body text only.
Sentiment Analysis
The sentiment is nearly balanced between positive and negative signals, which is typical for software PRs — bug fixes and security-related text tend to carry negative linguistic markers ("fix", "broken", "blocked", "failure"), while feature additions carry positive ones.
Breakdown:
✅ Positive (score > 0.05): 15 PRs (44%)
⚪ Neutral (−0.05 to +0.05): 4 PRs (12%)
❌ Negative (score < −0.05): 15 PRs (44%)
Average polarity: 0.039 (slightly positive overall)
Sentiment Timeline
Sentiment fluctuates throughout the day without a strong directional trend — no evidence of a "fatigue" pattern or sustained negativity in late-day PRs.
Topic Analysis
Topic Breakdown:
Topic
Count
%
Bug Fix
9
26%
New Feature
8
24%
Other
5
15%
Refactoring
4
12%
Security
3
9%
Documentation
2
6%
Dependency Update
2
6%
Testing
1
3%
Sentiment by Topic
Documentation PRs show the widest sentiment spread — the monitoring guide update (#16847) pulled strongly negative while the docs fix (#16924) was neutral. Security and Refactoring PRs tend toward more negative framing due to language about vulnerabilities and technical debt.
Keyword Analysis
Top Keywords Details
Keyword
Frequency
Signal
firewall
29
Active firewall/security work
agent
26
Core product domain
blocked
25
Firewall blocking pattern
addresses
25
Network/firewall context
rules
24
Security/validation rules
tests
23
Test coverage activity
workflows
19
Core domain
engine
18
Multi-engine support work
outputs
17
Safe-outputs feature area
error
15
Bug fixing activity
High frequency of firewall, blocked, addresses reflects the day's security and network restriction work (PRs #16775, #17086). The engine keyword signals continued multi-engine expansion (Gemini CLI in #16894, Gemini MCP fix in #16938).
Fix Playwright browser download failures in firewall
New Feature
−
Legend: ++ very positive (>0.5) / + positive / ○ neutral / − negative / −− very negative (<−0.5)
Key Insights
🔒 Security focus day: 3 dedicated security PRs plus firewall-related keywords dominating. The firewall, blocked, addresses keyword cluster points to significant work on credential hygiene and network access controls.
⚖️ Balanced sentiment: Near-equal split (15 positive / 15 negative) is healthy — indicates the language of the work is dominated by the problem being solved, not the solution quality.
📝 No conversation data: All 34 PR comment files were empty, meaning Copilot-authored PRs in this period were merged without inline review discussion (possibly auto-merged or reviewed in separate channels).
Recommendations
🎯 Firewall/network patterns: The high keyword frequency around firewall and blocked suggests a systematic pattern. Consider a dedicated tracking issue for firewall exception requests across the codebase.
💬 Review engagement: Zero conversation data in 34 PRs is worth investigating — are reviews happening asynchronously or bypassing the standard PR comment thread?
📊 Baseline established: Today's metrics (avg sentiment: 0.039, 44%/12%/44% positive/neutral/negative split) can serve as a baseline for future trend analysis.
Methodology
Sentiment Analysis: NLTK VADER (Valence Aware Dictionary and sEntiment Reasoner)
Topic Classification: Rule-based keyword matching on conventional commit prefixes
Keyword Extraction: NLTK tokenization + frequency analysis (stopwords removed)
Data Source: PR title + body text (comment threads empty)
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
Uh oh!
There was an error while loading. Please reload this page.
-
Analysis of 34 Copilot-authored PRs merged into
github/gh-awin the last 24 hours (2026-02-19T10:25Z → 2026-02-20T10:25Z). NLP techniques applied to PR titles and bodies (no inline conversation comments were present in the dataset).Executive Summary
firewall(reflects active security work)Sentiment Analysis
The sentiment is nearly balanced between positive and negative signals, which is typical for software PRs — bug fixes and security-related text tend to carry negative linguistic markers ("fix", "broken", "blocked", "failure"), while feature additions carry positive ones.
Breakdown:
Sentiment Timeline
Sentiment fluctuates throughout the day without a strong directional trend — no evidence of a "fatigue" pattern or sustained negativity in late-day PRs.
Topic Analysis
Topic Breakdown:
Sentiment by Topic
Documentation PRs show the widest sentiment spread — the monitoring guide update (#16847) pulled strongly negative while the docs fix (#16924) was neutral. Security and Refactoring PRs tend toward more negative framing due to language about vulnerabilities and technical debt.
Keyword Analysis
Top Keywords Details
firewallagentblockedaddressesrulestestsworkflowsengineoutputserrorHigh frequency of
firewall,blocked,addressesreflects the day's security and network restriction work (PRs #16775, #17086). Theenginekeyword signals continued multi-engine expansion (Gemini CLI in #16894, Gemini MCP fix in #16938).Notable PRs
All 34 Merged PRs
messages.footertemplate increate_pull_requestengine.envgh aw initin codespaceswrapto all code blocksLegend: ++ very positive (>0.5) / + positive / ○ neutral / − negative / −− very negative (<−0.5)
Key Insights
🔒 Security focus day: 3 dedicated security PRs plus firewall-related keywords dominating. The
firewall,blocked,addresseskeyword cluster points to significant work on credential hygiene and network access controls.🔧 Bug fix heavy: 9 bug fix PRs (26%) — slightly above typical baseline, but spread across unrelated subsystems (safe-outputs, Gemini engine, codespaces, MCP).
🌟 Engine expansion: Gemini CLI engine addition (feat: Add Google Gemini CLI as experimental agentic engine #16894) carries the highest positive sentiment of the day (+0.844), reflecting genuinely additive new capability.
⚖️ Balanced sentiment: Near-equal split (15 positive / 15 negative) is healthy — indicates the language of the work is dominated by the problem being solved, not the solution quality.
📝 No conversation data: All 34 PR comment files were empty, meaning Copilot-authored PRs in this period were merged without inline review discussion (possibly auto-merged or reviewed in separate channels).
Recommendations
🎯 Firewall/network patterns: The high keyword frequency around
firewallandblockedsuggests a systematic pattern. Consider a dedicated tracking issue for firewall exception requests across the codebase.💬 Review engagement: Zero conversation data in 34 PRs is worth investigating — are reviews happening asynchronously or bypassing the standard PR comment thread?
📊 Baseline established: Today's metrics (avg sentiment: 0.039, 44%/12%/44% positive/neutral/negative split) can serve as a baseline for future trend analysis.
Methodology
References:
Beta Was this translation helpful? Give feedback.
All reactions