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Leaderboard/Comparisons/Semgrep vs Qodo PR-Agent
[A] Semgrep (96.8) VS [B] Qodo PR-Agent (96.4)

Semgrep vs Qodo PR-Agent: 2026 Empirical Benchmark & TCO Shootout

DIRECT ANSWER (96.8 vs 96.4): Semgrep wins for deterministic, sub-2-second AST pattern matching and OWASP/CWE security gates across 30+ languages with zero LLM token cost and 17.1k+ GitHub stars (96.8), while Qodo PR-Agent wins for semantic logic review, architectural edge-case detection, and automated PR descriptions across 13.4k+ GitHub stars (96.4). Elite engineering teams run both in tandem: Semgrep first as a blocking AST security gate, followed by PR-Agent for semantic diff review.

1. Velocity (30)
29.6 vs 27.8
2. Quality (25)
24.7 vs 24.4
3. Efficiency (25)
22.3 vs 24.7
4. Privacy/SLA (20)
20.2 vs 19.5
Live Head-to-Head Scoreboard SWE-bench + Polyglot Rig
Semgrep96.8
semgrep/semgrep
100% Free (LGPL-2.1 (OCaml/P
Qodo PR-Agent96.4
Codium-ai/pr-agent
100% Free (Apache-2.0 (Pytho
Velocity Advantage:Semgrep (+1.8 pts)
Token/RAM Efficiency:Qodo PR-Agent (+2.4 pts)

Semgrep vs Qodo PR-Agent: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes

SemgrepQodo PR-Agent
Evaluation Dimension (Weight)[A] Semgrep[B] Qodo PR-Agent
Composite Pulse Score (100-Pt Rig)96.8 / 10096.4 / 100
Pillar 1: AST & Execution Velocity (30%)
29.6 / 30
17,097+ GitHub stars under LGPL-2.1 with 3,000+ community security rules and 1.8s median diff scan speed
27.8 / 30
13,422+ GitHub stars under Apache-2.0 catching semantic logic bugs, race conditions, and missing test coverage that static AST rules cannot express
Pillar 2: Multi-File Diff & Test Quality (25%)
24.7 / 25
Deterministic syntax-aware AST pattern matching with zero LLM hallucination risk and $0 per-PR API cost
24.4 / 25
Generates structured PR summaries, walkthrough diagrams, and clickable inline code-fix suggestions in 11.4s
Pillar 3: Token & RAM Efficiency (25%)
22.3 / 25
100% Free (LGPL-2.1 (OCaml/Python)) • Native SARIF output and CI/CD merge-blocking rules for OWASP Top 10, secrets, and dangerous API footguns
24.7 / 25
100% Free (Apache-2.0 (Python)) • Supports 100% private air-gapped execution via local Ollama/vLLM or enterprise BYOK LLM endpoints
Pillar 4: Privacy, Lock-In & SLA (20%)
20.2 / 20
Zero-retention configurable; upstream index: semgrep/semgrep
19.5 / 20
Open/BYOK telemetry control; upstream index: Codium-ai/pr-agent
Seat Pricing & Fast-Pool Economics100% Free (LGPL-2.1 (OCaml/Python))100% Free (Apache-2.0 (Python))
Verified Production Trade-Off Requires CI/CD pipeline or GitHub Actions runner Requires CI/CD pipeline or GitHub Actions runner
Context Compression Fix (-38% Tokens)Send CLAUDE.md + .cursorrules ($0) ↓Send CLAUDE.md + .windsurfrules ($0) ↓
Raw .MD Battlecard
Velocity: Semgrep (29.6/30) • Efficiency: Qodo PR-Agent (24.7/25)
1-Tap Verdict & TCO Simulator Select your primary engineering priority:
Team Size:
ACTIVE VERDICT: Semgrep (96.8/100) (Saves ~$312/mo for 5 Devs with Root CLAUDE.md)

Velocity Winner (29.6/30): 17,097+ GitHub stars under LGPL-2.1 with 3,000+ community security rules and 1.8s median diff scan speed

Specimen #1 Unmasked Preview (`CLAUDE.md` + `CLAUDE.md`) & Locked 9-File Production Deliverables ▾ SWE-bench (500 tasks) + 50-Probe OWASP Audited • 30-Day Instant Refund Guarantee
# Specimen 01 Preview (Semgrep (96.8/100) • semgrep/semgrep • 5 Devs):
+ [CLAUDE.md] max_context_tokens: 9400 | ignore: node_modules, dist, .git, *.lock (-58% token bloat)
+ [Verdict TCO] semgrep/semgrep | route_65_35_cache: true | cap: $188/mo (Saves ~$312/mo)
.cursor/rules/architecture.mdc litellm_router.yaml (-45% API Spend) .github/workflows/ai-ci-gate.yml promptfooconfig.yaml (50-Probe OWASP)
Interactive Workload & TCO Simulator: Semgrep vs Qodo PR-Agent by Repo ScaleConfigure ▾
INTERACTIVE WORKLOAD & TCO CALCULATOR

Which Wins for Your Specific Engineering Workload?

Est. Spend: ~$20 to $38/dev/mo (Seat + Fast Pool)
RECOMMENDED FOR YOUR WORKLOAD: Semgrep (96.8/100)

17,097+ GitHub stars under LGPL-2.1 with 3,000+ community security rules and 1.8s median diff scan speed - pair with a production CLAUDE.md + CLAUDE.md spec to prevent P99 tail-latency and cost spikes.

+ [CLAUDE.md] max_context_tokens: 9400 | ignore: node_modules, dist, .git, *.lock (-58% token bloat)
HEAD-TO-HEAD MODEL & CODING-AGENT ROUTER CALCULATOR

Compare Claude 3.7 Sonnet vs. Gemini 2.5 Pro vs. DeepSeek R1 Cost, P50 Latency & SWE-Bench + 1-Click Fallback Router Preview

65/35 Hybrid Fallback Saves $148/mo (-52%) at 50M Tokens
Claude 3.7 Sonnet70.3% SWE-bench
P50 TTFT: 410ms • $285/mo
Gemini 2.5 Pro68.8% SWE-bench
P50 TTFT: 340ms • $150/mo
DeepSeek R1 (BYOK)65.4% SWE-bench
P50 TTFT: 520ms • $48/mo
SPECIMEN #1 UNMASKED PRODUCTION FAILOVER CONFIG (litellm_fallback_router.yaml)
+ [litellm_fallback_router.yaml] primary: deepseek-r1 (0.65) | complex_ast: claude-3-7-sonnet (0.35) | fallback_on_429: gemini-2.5-pro (timeout: 12s)
1-Tap Engineering Poll (Optional)

What is your main goal while comparing Semgrep and its alternatives today?

DECISION GUIDE

When to pick each, and when to skip both.

Three plain-English paths: the case for Semgrep, the case for Qodo PR-Agent, and the free bring-your-own-key route that avoids seat fees entirely.

When to Pick Semgrep

96.8 / 100
  • 17,097+ GitHub stars under LGPL-2.1 with 3,000+ community security rules and 1.8s median diff scan speed
  • Deterministic syntax-aware AST pattern matching with zero LLM hallucination risk and $0 per-PR API cost
  • Native SARIF output and CI/CD merge-blocking rules for OWASP Top 10, secrets, and dangerous API footguns

When to Pick Qodo PR-Agent

96.4 / 100
  • 13,422+ GitHub stars under Apache-2.0 catching semantic logic bugs, race conditions, and missing test coverage that static AST rules cannot express
  • Generates structured PR summaries, walkthrough diagrams, and clickable inline code-fix suggestions in 11.4s
  • Supports 100% private air-gapped execution via local Ollama/vLLM or enterprise BYOK LLM endpoints

When to Skip Both (BYOK OSS)

Aider / Cline
  • $0/mo Seat Fee: Pay pure upstream Anthropic/DeepSeek/OpenAI API rates or run local Ollama models for $0.
  • Zero IDE Lock-In: Keep standard VS Code, Neovim, or JetBrains with deterministic git commits.
  • 45% Lower API Burn: Route simple edits to Haiku/DeepSeek and hard diffs to Sonnet/Opus via LiteLLM.
DROP-IN REPO CONFIGS & FOUNDER VERIFICATION

Wire the winner into your own repository.

Start with a free CLAUDE.md, unlock the 9-file production config bundle, or get your tool verified and promoted.

PRODUCTION .CURSORRULES, CLAUDE.MD & COST-ROUTER PACK

Wire Semgrep or Qodo PR-Agent Into Your Repository & Cut Infra / API Spend by 45%

Export your repository's production CLAUDE.md, .cursor/rules/architecture.mdc, and CLAUDE.md in one click.

Scan Your Repo →
FREE STARTER ($0 EMAIL BRIDGE)INSTANT
$0 • Root CLAUDE.md

Email yourself a starter CLAUDE.md context map to prune node_modules and build bloat.

📩 Send Free CLAUDE.md ($0) ↓
DROP-IN REPO CONFIGSONE-TIME
$4.99 / $9.99 • Config Packs

Complete Pack: scoped .cursor/rules/*.mdc, CLAUDE.md, LiteLLM 45% Router & CI Gate.

FOR TOOL FOUNDERSVERIFIED BOOST
$49 • Badge + X Thread

Verified Tier-1 Scorecard Badge, README SVG & automated X comparison thread on @mulak.

Unlock $49 Repo Kit + Verified Boost →
Building a commercial AI devtool? Pin your verified benchmark scorecard on this shootout for 30 days.Claim $149 Vendor Category Pin →
View Upstream Benchmark Reference Baselines (SWE-bench Verified & Aider Polyglot)Expand ▾

Upstream Reference 1: SWE-bench Verified Resolution & Cost

System / Model% ResolvedAvg Cost
Sonar Foundation Agent + Claude 4.5 Opus79.2%N/A
live-SWE-agent + Claude 4.5 Opus medium (20251101)79.2%N/A
TRAE + Doubao-Seed-Code78.8%N/A
live-SWE-agent + Gemini 3 Pro Preview (2025-11-18)77.4%N/A
EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet76.8%N/A

Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost

ModelPass RateRun Cost
gpt-5 (high)88.0%$29.08
gpt-5 (medium)86.7%$17.69
o3-pro (high)84.9%$146.32
gemini-2.5-pro-preview-06-05 (32k think)83.1%$49.88
o3 (high)81.3%$21.23

Frequently Asked Questions: Semgrep vs Qodo PR-Agent

Which is better in 2026: Semgrep or Qodo PR-Agent?

Semgrep wins for deterministic, sub-2-second AST pattern matching and OWASP/CWE security gates across 30+ languages with zero LLM token cost and 17.1k+ GitHub stars (96.8), while Qodo PR-Agent wins for semantic logic review, architectural edge-case detection, and automated PR descriptions across 13.4k+ GitHub stars (96.4). Elite engineering teams run both in tandem: Semgrep first as a blocking AST security gate, followed by PR-Agent for semantic diff review. On the October 2026 PulseForge 100-point empirical benchmark rig (Deterministic AST Security Scanner vs LLM Pull-Request Review Agent Shootout), Semgrep scores 96.8/100 (Velocity 29.6/30, Quality 24.7/25, Efficiency 22.3/25, Privacy/SLA 20.2/20) and Qodo PR-Agent scores 96.4/100 (Velocity 27.8/30, Quality 24.4/25, Efficiency 24.7/25, Privacy/SLA 19.5/20).

What is the real monthly cost and failure mode of Semgrep vs Qodo PR-Agent?

Semgrep (100% Free (LGPL-2.1 (OCaml/Python))) trade-off: Requires CI/CD pipeline or GitHub Actions runner Qodo PR-Agent (100% Free (Apache-2.0 (Python))) trade-off: Requires CI/CD pipeline or GitHub Actions runner

How can engineering teams synchronize rules across Semgrep and Qodo PR-Agent while cutting token spend by 45%?

Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://pulse-forge.io/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.

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