[Workflow Suggestions] Daily Report - January 21, 2026

[github-actions[bot]]

Workflow Suggestions - January 21, 2026

Executive Summary

• 8 new workflow suggestions identified
• Priority breakdown: 3 High, 3 Medium, 2 Low
• Focus areas: Performance monitoring, issue triage, test validation, security, community engagement

Repository Insights

Current State

• 5 active agentic workflows successfully running (api-coherence, build-warnings, code-conventions, release-notes, workflow-suggestions)
• 100% API coherence achieved across all 6 language bindings (historic milestone!)
• ~2000 source files (1042 .h, 967 .cpp)
• 307 TODO/FIXME comments in codebase
• Multiple language bindings: C, C++, Java, C#, Python, OCaml, TypeScript

Recent Issues Patterns

From analyzing recent issues, the following patterns emerge:

• Soundness bugs: Incorrect models, unsat issues (8+ recent issues)
• Performance regressions: 4.15.3, 4.15.4.0 showing slowdowns
• Theory-specific bugs: String theory (3 issues), Floating point (4 issues)
• Build system issues: cmake, ocaml binding problems
• Memory issues: Mac-specific problems

Recent Development Activity

• Modernization effort: std::string_view, std::optional adoption
• API enhancements: RCF API completed in TypeScript
• Infrastructure migration: Azure Pipelines → GitHub Actions

---

High Priority Suggestions

1. Soundness Bug Detector & Reproducer

Purpose

Automatically validate and reproduce reported soundness bugs (incorrect models, incorrect unsat/sat results)

Problem Solved

• Z3 has 8+ recent soundness bug reports
• Critical issues like incorrect models with proofs enabled
• Manual validation is time-consuming
• Reproducibility is essential for solver correctness

Trigger

• issues: [opened, labeled] - When issues are labeled with "soundness" or "bug"
• schedule: daily - Check all open soundness issues

Tools Needed

• GitHub API (toolsets: [default])
• Bash for running Z3 tests
• Network defaults for downloading/sharing test cases

Safe Outputs

• add-comment: - Report reproduction results on issues
• create-discussion: - Weekly soundness bug summary

Implementation Notes

• Parse SMT-LIB2 from issue descriptions
• Run Z3 with different configurations
• Validate models using Z3's model validation
• Check for inconsistencies
• Bisect to find regression commits if possible

Value Assessment

• Impact: Critical - ensures solver correctness
• Beneficiaries: Core team, users relying on soundness
• Time saved: 2-3 hours per soundness issue
• Priority: HIGH

Example Workflow

---
description: Automatically validate and reproduce reported soundness bugs
on:
  issues:
    types: [opened, labeled]
  schedule: daily
permissions: read-all
tools:
  github:
    toolsets: [default]
  bash: [":*"]
network: defaults
safe-outputs:
  add-comment:
    max: 2
  create-discussion:
    title-prefix: "[Soundness] "
    category: "Agentic Workflows"
    close-older-discussions: true
timeout-minutes: 30
---

2. Performance Regression Detector

Purpose

Monitor and detect performance regressions using standardized benchmarks

Problem Solved

• Recent issues show major performance regressions (4.15.3, 4.15.4.0)
• Users report 2x-10x slowdowns
• No automated performance monitoring
• Regressions discovered by users, not during development

Trigger

• pull_request: [opened, synchronize] - On PRs modifying solver code
• schedule: weekly - Run comprehensive benchmarks weekly

Tools Needed

• GitHub API (toolsets: [default])
• Bash for running benchmarks
• Network defaults for benchmark datasets
• Cache memory for baseline storage

Safe Outputs

• add-comment: - Report performance changes on PRs
• create-discussion: - Weekly performance report

Implementation Notes

• Use existing SMT-LIB2 benchmarks in examples/
• Compare against baseline from main branch
• Report regressions >10% slowdown
• Track memory usage changes
• Store historical performance data

Value Assessment

• Impact: High - prevents performance regressions
• Beneficiaries: All users, performance-critical applications
• Time saved: Prevents costly debugging later
• Priority: HIGH

Example Workflow

---
description: Detect performance regressions using benchmark suite
on:
  pull_request:
    types: [opened, synchronize]
    paths: ['src/**/*.cpp', 'src/**/*.h']
  schedule: weekly
permissions: read-all
tools:
  cache-memory: true
  github:
    toolsets: [default]
  bash: [":*"]
network: defaults
safe-outputs:
  add-comment:
    max: 1
  create-discussion:
    title-prefix: "[Performance] "
    category: "Agentic Workflows"
    close-older-discussions: true
timeout-minutes: 60
---

3. Issue Triage & Labeling Assistant

Purpose

Automatically triage new issues by analyzing content and suggesting appropriate labels/components

Problem Solved

• Issues often lack proper labels
• Manual triage takes time
• Component identification (SAT, SMT, theory solvers) is manual
• Theory-specific issues (string, FP, arrays) need expert attention

Trigger

• issues: [opened] - When new issues are created

Tools Needed

• GitHub API (toolsets: [default])
• Bash for text analysis
• Serena for code analysis

Safe Outputs

• add-comment: - Suggest labels and route to appropriate team members

Implementation Notes

• Analyze issue title and description
• Detect theory mentions (QF_SLIA, QF_FP, QF_BV, etc.)
• Identify error patterns (crash, timeout, incorrect result)
• Suggest relevant labels (soundness, performance, theory-specific)
• Check for duplicates
• Extract SMT-LIB2 code snippets

Value Assessment

• Impact: High - improves issue management
• Beneficiaries: Maintainers, contributors
• Time saved: 5-10 minutes per issue
• Priority: HIGH

Example Workflow

---
description: Automatically triage and label new issues
on:
  issues:
    types: [opened]
permissions: read-all
tools:
  github:
    toolsets: [default]
  bash: [":*"]
  serena: ["python"]
safe-outputs:
  add-comment:
    max: 1
timeout-minutes: 10
---

---

Medium Priority Suggestions

4. Example Code Validator

Purpose

Regularly validate all example code across all language bindings to ensure they compile and run

Problem Solved

• Examples may break with API changes
• No automated testing of example code
• Users encounter broken examples
• Multi-language examples may diverge

Trigger

• pull_request: - When examples or API changes
• schedule: weekly - Regular validation

Tools Needed

• GitHub API (toolsets: [default])
• Bash for compilation and testing
• Serena for code analysis

Safe Outputs

• create-discussion: - Weekly example validation report
• add-comment: - On PRs that may break examples

Implementation Notes

• Compile C/C++ examples
• Run Python examples
• Build and run Java examples
• Test C# examples
• Validate TypeScript examples
• Check for deprecation warnings

Value Assessment

• Impact: Medium - ensures example quality
• Beneficiaries: New users, documentation
• Time saved: 1-2 hours per release
• Priority: MEDIUM

Example Workflow

---
description: Validate all example code across language bindings
on:
  schedule: weekly
  pull_request:
    paths: ['examples/**/*', 'src/api/**/*']
permissions: read-all
tools:
  github:
    toolsets: [default]
  bash: [":*"]
  serena: ["python", "java", "csharp", "typescript"]
safe-outputs:
  create-discussion:
    title-prefix: "[Examples] "
    category: "Agentic Workflows"
    close-older-discussions: true
timeout-minutes: 45
---

5. TODO/FIXME Tracker & Reporter

Purpose

Track and report on TODO/FIXME comments, identifying which ones are becoming stale

Problem Solved

• 307 TODO/FIXME comments in codebase
• No tracking of technical debt
• Old TODOs may be forgotten
• No visibility into accumulation

Trigger

• schedule: monthly - Monthly technical debt report

Tools Needed

• GitHub API (toolsets: [default])
• Bash for code analysis
• Grep for pattern matching

Safe Outputs

• create-discussion: - Monthly technical debt report

Implementation Notes

• Scan for TODO/FIXME/XXX/HACK comments
• Track by file and component
• Compare against previous month
• Identify oldest TODOs
• Categorize by priority

Value Assessment

• Impact: Medium - manages technical debt
• Beneficiaries: Core team, long-term maintainability
• Time saved: Better planning and prioritization
• Priority: MEDIUM

Example Workflow

---
description: Track and report on TODO/FIXME comments
on:
  schedule: monthly
permissions: read-all
tools:
  cache-memory: true
  github:
    toolsets: [default]
  bash: [":*"]
  grep: {}
safe-outputs:
  create-discussion:
    title-prefix: "[Technical Debt] "
    category: "Agentic Workflows"
    close-older-discussions: true
timeout-minutes: 20
---

6. Security Vulnerability Scanner

Purpose

Scan for common security issues and unsafe patterns in C++ code

Problem Solved

• Memory safety issues (buffer overflows, use-after-free)
• No automated security scanning
• C++ security best practices
• Dependency vulnerabilities

Trigger

• pull_request: - On code changes
• schedule: weekly - Regular security audits

Tools Needed

• GitHub API (toolsets: [default])
• Bash for static analysis
• Grep for pattern matching

Safe Outputs

• add-comment: - On PRs with potential issues
• create-discussion: - Weekly security report

Implementation Notes

• Check for unsafe string operations (strcpy, sprintf)
• Identify potential buffer overflows
• Scan for use-after-free patterns
• Check dependency versions
• Validate input sanitization

Value Assessment

• Impact: Medium - improves security
• Beneficiaries: All users, security-critical applications
• Time saved: Prevents security incidents
• Priority: MEDIUM

Example Workflow

---
description: Scan for security vulnerabilities in C++ code
on:
  schedule: weekly
  pull_request:
    paths: ['src/**/*.cpp', 'src/**/*.h']
permissions: read-all
tools:
  github:
    toolsets: [default]
  bash: [":*"]
  grep: {}
safe-outputs:
  add-comment:
    max: 1
  create-discussion:
    title-prefix: "[Security] "
    category: "Agentic Workflows"
    close-older-discussions: true
timeout-minutes: 30
---

---

Low Priority Suggestions

7. Community Contributor Recognition

Purpose

Recognize and celebrate community contributions with monthly reports

Problem Solved

• Contributors may feel unrecognized
• No visibility into community growth
• Valuable contributions go unnoticed

Trigger

• schedule: monthly - Monthly contributor report

Tools Needed

• GitHub API (toolsets: [default])

Safe Outputs

• create-discussion: - Monthly contributor recognition

Implementation Notes

• Identify new contributors
• Track PR merges by external contributors
• Recognize issue reporters
• Track community engagement

Value Assessment

• Impact: Low - community engagement
• Beneficiaries: Contributors, community
• Time saved: Improves morale and retention
• Priority: LOW

Example Workflow

---
description: Monthly community contributor recognition
on:
  schedule: monthly
permissions: read-all
tools:
  github:
    toolsets: [default]
safe-outputs:
  create-discussion:
    title-prefix: "[Community] "
    category: "Announcements"
    close-older-discussions: false
timeout-minutes: 15
---

8. Research Paper Tracker

Purpose

Track academic papers and citations related to Z3

Problem Solved

• Z3 is used in academic research
• No tracking of research impact
• Potential collaborations missed
• Community engagement with researchers

Trigger

• schedule: monthly - Monthly research update

Tools Needed

• GitHub API (toolsets: [default])
• Web-search for paper discovery
• Web-fetch for accessing paper metadata

Safe Outputs

• create-discussion: - Monthly research roundup

Implementation Notes

• Search Google Scholar for Z3 papers
• Track citations
• Identify new use cases
• Highlight interesting research

Value Assessment

• Impact: Low - research visibility
• Beneficiaries: Academic community, researchers
• Time saved: Better awareness of Z3's impact
• Priority: LOW

Example Workflow

---
description: Track academic papers and citations
on:
  schedule: monthly
permissions: read-all
tools:
  github:
    toolsets: [default]
  web-search: {}
  web-fetch: {}
safe-outputs:
  create-discussion:
    title-prefix: "[Research] "
    category: "Announcements"
    close-older-discussions: false
timeout-minutes: 20
network: defaults
---

---

Progress Tracker

Automation Coverage

Z3 currently has excellent automation coverage for:

• ✅ API coherence (100% achieved!)
• ✅ Build warnings
• ✅ Code conventions
• ✅ Release notes
• ✅ Workflow suggestions

Remaining Opportunities

Still missing automation for:

• ❌ Soundness bug validation (HIGH priority)
• ❌ Performance regression detection (HIGH priority)
• ❌ Issue triage (HIGH priority)
• ❌ Example code validation (MEDIUM priority)
• ❌ Technical debt tracking (MEDIUM priority)
• ❌ Security scanning (MEDIUM priority)
• ❌ Community recognition (LOW priority)
• ❌ Research tracking (LOW priority)

Estimated Coverage

• Current: ~40% of potential automation opportunities
• With High Priority: ~70%
• With All Suggestions: ~95%

---

Implementation Recommendations

Phase 1 (Next 2-4 weeks)

1. Soundness Bug Detector - Critical for solver correctness
2. Issue Triage Assistant - Improves developer workflow immediately

Phase 2 (Next 1-2 months)

3. Performance Regression Detector - Prevents costly regressions
4. Example Code Validator - Ensures user experience quality

Phase 3 (Next 2-3 months)

5. Security Scanner - Improves overall code quality
6. TODO/FIXME Tracker - Manages technical debt

Phase 4 (Future)

7. Community Recognition - Enhances community engagement
8. Research Tracker - Maintains academic connections

---

Conclusion

Z3's agentic workflow infrastructure is maturing nicely with 5 active workflows providing significant value. The suggestions above focus on the next layer of automation opportunities, particularly around:

1. Quality assurance: Soundness validation and performance monitoring
2. Developer productivity: Issue triage and example validation
3. Long-term health: Security and technical debt management
4. Community: Recognition and research tracking

The high-priority suggestions address current pain points visible in recent issues, while medium and low priority suggestions build toward comprehensive automation coverage.

Next Steps: Consider implementing the high-priority workflows first, as they address immediate needs around soundness bugs and issue management that are consuming significant team time.

---

Report Date: January 21, 2026
Agent: Workflow Suggestion Agent
Run: Daily monitoring
Next Run: January 22, 2026

AI generated by Workflow Suggestion Agent

• expires on Jan 28, 2026, 8:54 PM UTC