AI Tool Comparison

Comparing as AI Code Generation & Autocomplete
Qodo vs Sourcegraph Cody

Qodo

Qodo

VS
Sourcegraph Cody

Sourcegraph Cody

Verdict by Category

Detailed category analysis is not available for this comparison.

Detailed Comparison

Feature
Qodo
Sourcegraph Cody
Pricing
FreemiumQodo uses a credit-based pricing model at $0.012 per credit, pooled across the team with no rate limits. The Pro Team plan is available with credit packs: 2,500 credits (~18 reviews/month), 5,000 credits (~36 reviews/month), and 20,000 credits (~144 reviews/month). There is no annual commitment on the Pro Team plan and a 14-day free trial is available with no credit card required. Additional credits can be purchased anytime. Enterprise pricing is custom and includes everything in Pro Team plus SSO/SAML, audit logs, BYOK (bring your own LLM keys), single-tenant SaaS, on-premises/air-gapped deployment, advanced governance analytics, advanced self-learning rules, Gerrit support, custom agentic workflows, dedicated CSM, priority support SLAs, and MSA/DPA commercial agreements. Open-source projects get free access to Qodo's hosted PR review. The open-source Qodo Merge (formerly PR-Agent) is freely self-hostable. There is no permanent free commercial tier for teams.
EnterpriseSourcegraph Cody previously offered three tiers: Cody Free (unlimited autocomplete, 200 chat messages/month), Cody Pro ($9\u2013$19/user/month), and Cody Enterprise. On July 23, 2025, Sourcegraph permanently discontinued the Free and Pro plans, consolidating Cody as an enterprise-only product. Cody Enterprise is the sole remaining plan, reported at approximately $59/user/month on an annual contract. Some bundled Sourcegraph platform packages start around $16,000/year with included AI-feature credits. All pricing is negotiated directly with Sourcegraph's sales team and varies by organization size, deployment model, and contract length. Enterprise includes admin-selectable LLMs (Claude, GPT, Gemini), SOC 2 Type II compliance, SAML SSO, RBAC, audit logs, full Sourcegraph platform integration (Code Search, Batch Changes, Code Insights), self-hosted or BYO cloud deployment for air-gapped environments, and guaranteed no training on customer code. Individual developers can use Sourcegraph's separate Amp product (currently free) as an alternative.
Categories
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms
Summary
Govern code at the speed AI writes it — quality review for the agent era
AI coding assistant with deep context across your entire codebase
Qodo

Qodo Pros & Cons

Pros

  • Only platform purpose-built for governing AI-generated code — designed from the ground up for the agent-first era of software development
  • Self-learning rules system turns organizational knowledge into enforceable, machine-readable standards that every agent and developer follows
  • Open-source PR-Agent foundation with 14,000+ GitHub stars — transparent, community-audited, and self-hostable
  • Supports all four major Git platforms — GitHub, GitLab, Bitbucket, and Azure DevOps, plus Gerrit (Enterprise)
  • Recognized by Gartner as a Visionary in AI-Augmented Development in September 2025, and cited by NVIDIA and Anthropic
  • Zero data retention by default — code is analyzed and discarded, never stored, logged, or used to train models

Cons

  • Credit-based pricing can be unpredictable for heavy users — large PRs and complex codebases consume more credits per review
  • No free permanent tier for teams — only a 14-day trial and free access for open-source projects
  • Primarily focused on code review and quality governance — not a full IDE coding assistant or autocomplete replacement like Cursor or Copilot
  • Enterprise features (SSO, BYOK, on-prem, advanced analytics) require a sales conversation for custom pricing
  • Can generate noisy reviews on very large PRs if context tuning is not configured — rules system setup requires initial investment
Sourcegraph Cody

Sourcegraph Cody Pros & Cons

Pros

  • Best-in-class multi-repository context — retrieves relevant code from across entire enterprise codebases, not just the open file
  • Deep integration with Sourcegraph Code Search, Code Navigation, and Batch Changes for a unified code intelligence platform
  • Admin-level LLM flexibility — choose Claude, GPT, or Gemini per use case without being locked to one model provider
  • Guaranteed no-training on customer code with SOC 2 Type II, self-hosted, and air-gapped deployment options
  • Trusted by over 1M engineers at Databricks, Plaid, Uber, Lyft, Reddit, GE, Dropbox, and Fortune 500 companies
  • Engineers report saving 5–6 hours per week and writing code 2x faster according to Sourcegraph customer data

Cons

  • Cody Free and Pro discontinued July 2025 — no self-serve individual tier; enterprise procurement via sales only
  • Pricing starts at ~$59/user/month on annual contract, significantly more expensive than GitHub Copilot or Cursor for small teams
  • Multi-repo context only works for codebases indexed in your Sourcegraph instance — disconnected repos are invisible to Cody
  • No bring-your-own-key (BYOK) model access for individual users — model selection is admin-controlled at the enterprise level
  • Requires Sourcegraph platform deployment — not a lightweight plugin for teams not already running Sourcegraph
  • Sales-led procurement only adds friction for teams that want to trial the product quickly without a contract