Sourcegraph Cody Review 2026: Enterprise-Only Now

Sourcegraph Cody is an AI coding assistant sold exclusively to engineering organizations, built on top of Sourcegraph's original Code Search technology. Rather than only reading the file you have open, Cody indexes and reasons across your entire codebase and related repositories, which lets it ground chat answers, autocomplete, and suggested edits in how your organization's code actually behaves rather than generic patterns pulled from public training data. It grew out of a decade of code-intelligence work Sourcegraph did before adding AI in 2023. Important context: Cody is not something an individual developer can casually try today — the free and Pro tiers were discontinued in mid-2025, and individuals looking for a personal AI coding companion are now directed to Amp, a separate spinout company. What remains under the Cody name is purely an enterprise product aimed at large, multi-repository engineering teams, not solo developers or small startups experimenting with AI pair-programming.

For a small team working mostly out of a single repository, Cody is usually the wrong tool — not because it underperforms, but because its pricing and design assume a problem you likely don't have. Copilot Business or Cursor's team plans cost meaningfully less and handle single-repo, day-to-day coding assistance perfectly well for most teams. Cody's premium exists specifically to pay for cross-repository reasoning: understanding that changing one microservice will break something in three other services elsewhere in your organization. If your engineering org spans dozens of repositories with tangled dependencies, that context can genuinely save debugging time Copilot can't touch. If it doesn't, you'd be paying enterprise rates for a capability you're not using. The honest way to decide is running a pilot against your own codebase rather than trusting either vendor's marketing claims.

No. This is one of the most common points of confusion right now, and it's worth being direct about: individual access to Cody no longer exists in any form, free or paid. Sourcegraph discontinued Cody Free and Cody Pro in July 2025 and removed Cody from its Enterprise Starter tier entirely. If you try to sign up as a solo developer today, you'll be routed to Amp, the separate agentic coding product Sourcegraph launched to replace that use case — and which has since spun out into its own independent company as of December 2025. Amp is not a renamed version of Cody; it's a genuinely different product built by the same founders. So if you used Cody casually a year or two ago and are wondering why your account disappeared, that's the reason — freelancers and hobbyist coders now belong at Amp, not Cody.

Yes, and it's one of the stronger practical reasons regulated organizations choose Cody over lighter-weight competitors. Beyond standard cloud hosting, Cody Enterprise supports VPC and fully air-gapped deployments, along with integration into private model gateways such as Azure OpenAI and AWS Bedrock — useful for organizations barred from sending proprietary code to third-party AI APIs. Administrators also get Context Filters, letting them exclude specific repositories from what Cody can see during chat or autocomplete, which matters when only certain teams or codebases are cleared for AI tooling. Sourcegraph also states that customer prompts and code are used to run and improve the service but not to train underlying models — a distinction compliance and security teams typically scrutinize closely. Combined, these controls are largely what justifies Cody's enterprise-only sales process and pricing for banks, healthcare companies, and other regulated engineering shops.

No. Cody Free and Cody Pro were both discontinued on July 23, 2025, and Sourcegraph does not offer any free tier under the Cody name anymore. Anyone looking for a no-cost or low-cost individual coding assistant from this company should look at Amp instead, since that's the product Sourcegraph now points casual and individual users toward. Cody Enterprise, the only surviving version of the product, starts around $59 per user per month and requires a sales conversation rather than a self-serve signup — there's no trial checkout, no credit card entry, no free-tier fallback to test drive it casually. Pricing is also typically billed annually and quoted individually based on organization size and deployment needs, which is a meaningfully different buying process than most developer tools. If your interest in Cody is personal experimentation rather than an organizational rollout, the honest answer is that there's currently no free path into it at all.

For individual developers, Amp is the direct successor in Sourcegraph's own lineage, now run as an independent company by Cody's original founders. For organizations comparing enterprise options, GitHub Copilot Enterprise and Cursor Business are the two most commonly cited alternatives, both priced noticeably lower than Cody Enterprise, though neither matches Sourcegraph's decade-plus of cross-repository code-intelligence infrastructure. Tabnine Enterprise is another enterprise-grade option worth benchmarking, particularly for teams prioritizing on-prem deployment. The right alternative really depends on codebase shape: single-repo or modestly sized engineering teams often get comparable day-to-day results from Copilot or Cursor at a fraction of the cost, while organizations with sprawling, multi-repository systems and real cross-service dependency problems are the ones Cody was specifically rebuilt to serve. Evaluating alternatives here isn't just about feature checklists — it's about whether your engineering org's architecture actually creates the cross-repo reasoning problem Cody is built to solve.

For the right organization, yes — but "worth it" hinges entirely on codebase structure, not company size alone. Cody's premium pricing is justified specifically by Code Search, the cross-repository indexing engine Sourcegraph spent over a decade building before adding AI on top. Companies like Dropbox, Stripe, and Canva represent the profile where this pays off: many interdependent repositories where a change in one service routinely breaks or affects three others, a scenario file-scoped assistants genuinely cannot see. If your organization fits that description, the ability to reason across the whole codebase, choose between frontier LLMs, and deploy on-prem or air-gapped for compliance can offset the higher cost meaningfully. If your organization is large in headcount but still operates out of a single repository or a handful of loosely related ones, the value proposition weakens considerably, and a pilot against your actual codebase is the only reliable way to know before committing to an annual enterprise contract.

No, and this is one of Cody's more practically important features for enterprise buyers. Cody supports multiple LLMs, including models from Anthropic and OpenAI, so engineering teams can select or switch the underlying model rather than being tied to one vendor's release schedule, pricing changes, or performance regressions. This matters more than it might initially seem: as frontier models evolve quickly and unevenly across providers, a tool baked around a single model can leave teams stuck when a competitor's model pulls ahead on code quality or cost. Combined with support for private model gateways like Azure OpenAI and AWS Bedrock, this model flexibility also plays into compliance and procurement decisions for regulated industries that need approved model providers. It's a distinct advantage over tools that hard-code a single model choice, and it's part of why Cody's enterprise pitch extends beyond just codebase context into longer-term vendor flexibility.