repowiserepowise
Features
Code health
A defect-validated 1 to 10 score per file. Zero LLM.
Agent provenance
See how much of your code AI wrote, and whether it is healthy.
AI context (MCP)
Ten MCP tools that give your agent real codebase context.
Change risk
A 0 to 10 defect-risk score for any commit or PR.
Security
Reachability-aware CVE triage on your dependency graph.
Auto wiki
A documented wiki of your codebase that rebuilds itself.
Git intelligence
Hotspots, ownership, hidden coupling, and bus factor.
Architecture (C4)
C4 system context, containers, and components.
Decisions
Architectural decisions mined from eight sources.
Solutions
developers
Give Claude Code, Cursor, and any MCP client a queryable model of your repo.
teams
One shared index, one credit pool, one org install. The whole team on the same brain.
team leads
Flag the risky PRs, the hotspots, and the hidden coupling, on every pull request.
engineering leaders
See how much of your code AI wrote, whether it is healthy, and who owns it.
security
CVE triage that knows whether you actually call the vulnerable code.
enterprise
Self-hosted, air-gapped, and commercially licensed for the whole org.
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VS SONARQUBE

The open-source, defect-validated alternative.

Reproducible defect validation instead of pass/fail quality gates, plus the wiki, decisions, git intelligence, and agent-native MCP that SonarQube does not ship, all open source and self-hostable. No server to stand up, no API key for the first index.

Index your repo freeSee code health
payments/processor.py⚠ LIKELY TO BREAK NEXT
3.1/ 10 health
brain methoduntested hotspotchurn 96%ile3 owners
auth/middleware.py
4.6
api/routes.py
7.2
core/models.py
8.9
~73%state-of-the-art accuracy at calling the file a bug lands in
proven on 21 real projects across 9 languages
0.74
cross-project ROC AUC, validated on real defects
35.6x
fewer tokens loading one commit's context vs a naive file dump
AGPL
open source, self-hostable, every heuristic public
10
MCP tools so AI agents get real context
THE PROBLEM

SonarQube made quality gates the default way to govern code. The question is whether a pass/fail threshold against a rule set is enough, or whether you want a score that is validated against real defects, reproducible on your own repo, and available without standing up a server first.

repowise takes a different unit of value: instead of enforcing thresholds, it ranks files by a defect-validated health score, then bundles that score with an auto-generated wiki, decisions, git intelligence, and agent-native MCP, all open and self-hostable with one pip install.

THE SHORT VERSION

Which one is right for you?

Choose repowise if

  • You want defect validation you can reproduce on your own repo, not a pass/fail gate against a rule set
  • You want to index a repo with one pip install, no server, no project config, no API key
  • You want code health that is open source and self-hostable, with every heuristic inspectable
  • You want health plus an auto-generated wiki, architectural decisions, and agent-native MCP in one tool
  • You prefer per-repo and per-seat pricing over per-developer commercial editions

Choose SonarQube if

  • You need deep SAST and application security with taint analysis and secrets detection
  • You need mature quality-gate enforcement wired into CI/CD across many teams
  • You need rule coverage across 40+ languages today
  • You need enterprise-scale governance and compliance reporting (OWASP, CWE, PCI DSS)
SIDE BY SIDE

repowise vs SonarQube

CapabilityrepowiseSonarQube
Deterministic code-health scoreIncludedIncluded
No server to install for a first resultSonarQube needs a server (or SonarQube Cloud) plus per-project scanner setupIncludedNot included
No API key needed for the first indexIncludedIncluded
Defect validation reproducible on your repoSonarQube reports issues against its rule set; repowise ships a benchmark you can rerunIncludedPartial support
Open source and self-hostableSonarQube's Community Build exists but the strong tiers are commercialIncludedPartial support
Quality-gate CI/CD enforcementPartial supportIncluded
SAST and application security (taint, secrets)Not includedIncluded
Language rule breadthSonarQube: 40+ languages; repowise: 16 languages, full-tier for 11Partial supportIncluded
Auto-generated wiki and documentationIncludedNot included
Architectural decision recordsIncludedNot included
Git intelligence: hotspots, ownership, couplingIncludedPartial support
Multi-repo workspacesIncludedPartial support
VS Code extensionIncludedIncluded
Noisy command output distillation (test/build/git log)IncludedNot included
Agent-native MCP context (overview, answers, risk, why)IncludedNot included
Measured token efficiency for AI agentsrepowise: 35.6x fewer tokens to load one commit's context; SonarQube cites up to 8% lower token usageIncludedPartial support
AI code provenance (agent attribution)IncludedNot included
Dead code detectionIncludedPartial support

Self-assessed against publicly documented features as of June 2026. A dash means partial or limited support. Vendor capabilities change, so please verify against SonarQube's current docs before deciding.

WHY TEAMS SWITCH

A gate tells you pass or fail. A score tells you where the bugs are.

The same static signals SonarQube enforces, plus validation you can reproduce and a context layer it was never built to provide.

VALIDATED, NOT JUST ENFORCED

A score you can reproduce, not a threshold you set

See code health

Every biomarker and weight is open source, and the defect-validation benchmark runs on your own repo, so you can confirm the score finds your bugs rather than tuning a gate by hand. The benchmark itself is cross-project and leakage-free: 2,770 files across 9 languages, same defect labels for every tool compared.

  • Cross-project ROC AUC 0.74, up to 0.90 per repo
  • 2.3x more defects under a fixed review budget on our published benchmark, reproduce it
  • 21 deterministic markers, no LLM, under 30 seconds on a 3,000-file repo
  • AGPL-3.0 (OSS 0.39.0): inspect, fork, self-host
See code health
ONE LAYER, NOT A GATE

Health, docs, decisions, and agent context together

Explore the MCP tools

SonarQube is a verification and governance layer. repowise puts health alongside an auto-generated wiki, architectural decision archaeology, git intelligence, agent provenance, and ten MCP tools, so the same index serves your quality goals and your AI agents.

  • Auto-generated wiki, rebuilt on every commit
  • Architectural decisions mined from eight sources, including git archaeology and agent transcripts
  • Multi-repo workspaces for cross-service understanding
  • repowise distill compresses noisy test, build, and git-log output by 61-89%
Explore the MCP tools
REAL CONTEXT FOR AGENTS

A hard token number, not a vague up to 8%

For engineering leaders

repowise serves agents a real model of your code instead of a file dump. Loading one commit's context costs 35.6x fewer tokens than a naive file dump, where SonarQube claims up to 8% lower token usage. In a real agent loop that same context layer holds up as a measured 31.6% fewer output tokens against a bare agent.

  • 35.6x fewer tokens loading one commit's context
  • ten MCP tools answer from the index, not from raw files
  • Bring your own LLM key or run fully offline
  • Zero telemetry, code never leaves your infrastructure
For engineering leaders
THREE SIGNALS, NOT ONE GATE

Defect risk, maintainability, and performance, scored separately.

SonarQube's quality gate blends rule violations into a single pass/fail decision. repowise keeps three signals distinct so a maintainability smell never quietly drags down the defect number a team is trying to trust.

Defect risk, validated

The primary 1 to 10 score, computed from 21 markers and validated against real defect labels at cross-project ROC AUC 0.74. This is the number to rank review priority by.

Maintainability, separate

8 markers score readability and change-cost smells, complexity, cohesion, primitive obsession, and more, that hurt a codebase over time without necessarily predicting the next bug.

Performance risk, separate

20 static markers flag I/O-in-loop and N+1 shapes, a high-precision, low-recall scan for wasted work, kept out of the defect score entirely.

49detectors run across the three pillars in total, all deterministic and free to run at index time. SonarQube's quality-gate model asks whether the code passes a threshold; repowise's three-pillar model asks which of three different questions, will this ship a bug, will this be expensive to change, will this waste cycles, and answers each on its own terms.

COMING FROM SONARQUBE

Switching over takes four steps.

Nothing to export and no data to migrate: repowise indexes the same git remote from scratch, deterministic layer first, no server required.

01

Install

pip install repowise. No server, no Docker image to run, no project key to register first.

02

Index for free

repowise init --yes --no-prose builds the graph, git history, and full three-pillar code-health score with no API key and no spend.

03

Compare the ranking

Run the benchmark against your own repo's bug-fix history to see whether the health ranking matches where your team actually spent fix time, instead of trusting a vendor's citation.

04

Wire it into review

Point the ten MCP tools at Claude Code, Cursor, or Codex so your agents pull risk and context from the same index your team reviews from, then add prose or the README badge if you want them.

SELF-HOSTING AND LICENSING

Two different answers to who controls this.

A quality tool sits close to your source. Before it touches a private repo, the license and the edition split matter as much as the feature list.

Source availability

repowise's core is open source under AGPL-3.0 (OSS 0.39.0): every marker, every scoring rule, every heuristic is public and inspectable. SonarQube ships a Community Build, but its Developer, Enterprise, and Data Center editions, where most of the quality and security depth lives, are commercial and closed.

Where your code runs

repowise runs on your own infrastructure, your VPC, your laptop, or a container you control, and can operate fully offline with a local model. SonarQube's Community Build is self-hostable too, but its higher tiers and SonarQube Cloud push you toward either a paid license or their hosted service.

What the free tier actually covers

Self-hosting repowise is free indefinitely: all 49 detectors, the wiki, dead code, git intelligence, decisions, and the MCP tools, on any repo, with zero LLM spend required. SonarQube's Community Build covers core static analysis; taint-based SAST, security compliance reporting, and portfolio governance require a paid edition. Verify the current edition matrix on SonarQube's site before comparing.

Cost model

repowise's hosted and enterprise tiers are optional convenience on top of a free self-hosted core, priced per repo and per seat. SonarQube's commercial editions price per developer (LOC-based on some plans), which scales differently as a team grows. Always check current pricing directly, since both models change.

WHERE SONARQUBE IS STRONGER

The honest version

SonarQube is a mature, widely trusted platform, and there are places it leads today. Its SAST and application-security depth, with taint analysis, secrets detection, and compliance frameworks like OWASP and CWE, is well ahead of what repowise offers, and it is not something we try to replace. It enforces quality gates wired into CI/CD across many teams, and it ships rule coverage for 40+ languages at enterprise scale, with a Community Build that has been battle-tested for over a decade. If deep security analysis, broad language rules, or mature gate enforcement are your priority, SonarQube is a strong choice. repowise wins when you want openness, reproducible defect validation, a full context layer, and agent-native access, without standing up a server first, at team-friendly pricing.

PRICING

What repowise costs.

The repowise core is open source under AGPL-3.0 and free to self-host, with every heuristic public. Hosted tiers: Free for public repos, Pro at $15 per month, Teams at $60 per month, and custom enterprise licensing when you need it. SonarQube's pricing changes, so verify it on their site, then compare it with a tier you can read line by line.

See repowise pricing
FREQUENTLY ASKED

Questions, answered

Is repowise a good SonarQube alternative?

Yes, if you want code health that is validated against real defects and reproducible on your own repo, not just enforced as a pass/fail gate. repowise scores code health from 21 deterministic biomarkers, publishes its predictive performance, and bundles it with an auto-generated wiki, git intelligence, architectural decisions, and ten MCP tools for AI agents. SonarQube remains the better fit if your priority is deep SAST and security analysis or broad language-rule coverage.

Is repowise open source? SonarQube's full platform is not.

Yes. The repowise core is open source under AGPL-3.0, so every biomarker, weight, and scoring rule is public and you can self-host the whole platform. SonarQube ships a Community Build alongside its commercial Developer, Enterprise, and Data Center editions, and the quality, security, and governance features most teams actually want sit behind those paid tiers. Check SonarQube's current edition matrix before deciding, since it changes.

How is repowise different from a SonarQube quality gate?

SonarQube enforces customizable thresholds as a go/no-go deployment decision. repowise instead ranks files by a defect-validated health score so you spend review time where bugs actually concentrate, and it ships the benchmark you can rerun to confirm that ranking holds on your code.

How does repowise's defect validation compare?

repowise publishes its score's predictive performance against real defect labels and lets you reproduce it on your own repo: cross-project ROC AUC 0.74 (95% CI 0.68 to 0.79, up to 0.90 per repo). On our published benchmark it surfaces 2.3x more defects under a fixed review budget, and you can reproduce it. SonarQube reports issue counts against its rule set rather than a published defect-prediction benchmark.

Does SonarQube catch more security issues than repowise?

For deep SAST and security, SonarQube leads, and repowise does not try to replace it. SonarQube ships mature static application security testing with taint analysis and secrets detection across compliance frameworks. repowise focuses on understanding, risk, and context rather than vulnerability scanning.

Is code health one blended score in repowise?

No, and this is a deliberate difference from a single quality-gate number. repowise scores three co-equal signals separately: defect risk (the primary 1 to 10 score, validated against real bugs), maintainability (readability and change-cost smells that do not necessarily predict bugs), and performance (static I/O-in-loop and N+1 shapes). They are never blended into one figure, so a maintainability smell can't quietly drag down the defect-risk number a team is trying to trust.

Do I need an API key or a running server for the first index?

No. pip install repowise, then repowise init --yes --no-prose builds the dependency graph, git history, and full code-health score with zero LLM calls and no server to stand up. SonarQube requires installing and configuring a server (or using SonarQube Cloud) and a project-level scanner setup before you see a first result.

Is repowise cheaper than SonarQube?

For most teams, yes. repowise is free and self-hostable under AGPL-3.0, and the hosted tiers are priced per repo and per seat. SonarQube's quality and security tiers are priced per developer, and its strongest capabilities sit behind the commercial editions rather than the Community Build.

Can repowise give AI coding agents codebase context?

Yes, and this is a core difference. repowise exposes the whole index through ten MCP tools (get_overview, get_answer, get_context, get_risk, get_why, and more) so Claude Code, Cursor, Cline, and Codex answer from a real model of your code. Loading one commit's context through get_context costs 35.6x fewer tokens than a naive file dump, and in a real agent loop against a bare-agent control that is a measured 31.6% fewer output tokens on Codex.

KEEP EXPLORING
Code health

The defect-validated score, in depth.

The code-health guide

21 markers, the ROC AUC methodology, and how to read a worklist.

AI context

The ten MCP tools and the token saving for agents.

For engineering leaders

Health, ownership, and AI-debt for leaders.

Best code-health tools 2026

Where repowise ranks against SonarQube and other quality tools.

Best static analysis for large codebases

How static analysis tools hold up at scale.

Does code health predict bugs?

The validation study behind the ROC AUC numbers.

Explore live wikis

See the wiki and code health on a real, public repo.

Open, reproducible code health, and a lot more.

Index your repo freeBook a demo
repowiserepowise

Codebase intelligence for AI agents. Open source under AGPL-3.0, hosted SaaS for teams.

Features
  • Code health
  • Agent provenance
  • AI context (MCP)
  • Change risk
  • Security
  • Auto wiki
  • Git intelligence
  • Architecture (C4)
  • Decisions
Solutions
  • For developers
  • For teams
  • For team leads
  • For engineering leaders
  • For security
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