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AI Tool Comparison

Comparing as AI Pair Programming & Terminal Agents
Sourcegraph Cody vs Aider

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

Sourcegraph Cody

Sourcegraph Cody

VS
Aider

Aider

Verdict by Category

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View Sourcegraph Cody View Aider

Detailed Comparison

Feature
Sourcegraph Cody
Aider
Pricing
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.
FreeAider itself is completely free and open source under the Apache 2.0 license, with no subscription, tiers, or usage limits imposed by the project. Costs come entirely from the LLM provider a developer chooses to connect: for example, Anthropic, OpenAI, or DeepSeek API usage is billed directly by that provider at its own per-token rates, or developers can run local models through Ollama at no cost at all. Because there is no Aider-specific markup or platform fee, effective cost is determined by model choice and usage volume rather than by Aider itself.
Categories
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms
AI Coding Assistants
Summary
AI coding assistant with deep context across your entire codebase
Free, open-source AI pair programming that lives in your terminal
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
Aider

Aider Pros & Cons

Pros

  • Completely free and open source, with no platform markup on top of LLM provider API costs
  • Deep git-native workflow makes every AI change individually reviewable, diffable, and reversible
  • Model-agnostic support for 100+ LLM providers, including local models, avoids vendor lock-in
  • Efficient repo mapping keeps large codebases manageable without dumping entire files into context
  • Transparent, actively maintained public leaderboard helps developers pick the best-performing model for real coding tasks

Cons

  • Terminal-only interface has a learning curve for developers used to GUI-based tools like Cursor or Copilot
  • No bundled AI access; users must bring their own API keys and manage separate billing with LLM providers
  • Deliberately not a fully autonomous agent, staying one step behind tools like Devin that run unsupervised for longer stretches
  • No official enterprise support tier or SLA, since the project is community-maintained open source