Continue vs Sourcegraph Cody: Coding Agents Comparison
Compare Continue and Sourcegraph Cody side by side. Both are tools in the Coding Agents category.
Updated April 29, 2026
The short answer
Choose Continue if 100% open-source — no vendor lock-in, fully auditable.
Choose Sourcegraph Cody if free tier with unlimited autocompletion.
Want to compare Continue and Sourcegraph Cody on your own traffic?
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
Quick Comparison
| Category | Coding Agents | Coding Agents |
| Pricing | Free open-source + Hub from $10/mo | — |
| Best For | Engineering teams that want an open-source, auditable AI coding assistant with full model and deployment freedom | — |
| Website | continue.dev | sourcegraph.com |
| Key Features |
| — |
| Use Cases |
| — |
Pros & Cons: Continue vs Sourcegraph Cody
- +100% open-source — no vendor lock-in, fully auditable
- +Most flexible model support of any major coding assistant
- +Source-controlled AI configuration treats prompts like code
- +Strong on-prem / air-gapped story for enterprise
- +Active Hub marketplace and community contributions
- −Setup is more involved than turn-key tools like Copilot or Cursor
- −UX is functional rather than polished compared to Cursor
- −Quality bound to your chosen model — no built-in agent intelligence
- −Smaller out-of-the-box integration set than incumbents
- +Free tier with unlimited autocompletion
- +Affordable Pro plan at USD 9/month
- +IDE integration across popular platforms
- +Strong codebase context awareness
- −Pro and Free tiers being discontinued mid-2025
- −Transitioning to new Amp product
- −Uncertainty around product roadmap
- −Enterprise customers only path forward
Pricing: Continue vs Sourcegraph Cody
- · VS Code + JetBrains extensions
- · Autocomplete, chat, edit, agent modes
- · BYO model — any provider including local
- · Community support
- · Private rules and assistants
- · Source-controlled team configs
- · Shared prompt + context library
- · Email support
- · Team analytics + adoption insights
- · Enforceable CI checks for AI-generated code
- · SSO and admin controls
- · Priority support
- · On-prem and air-gapped deployment
- · Custom models + private gateway
- · Audit logs, SOC 2, SAML SSO
- · SLAs and dedicated support
- · Unlimited autocompletion
- · 200 chats/prompts monthly
- · Custom prompts
- · IDE integration
- · Unlimited autocompletion
- · Increased chat limits
- · Advanced features
- · SSO
- · BYOK
- · Custom deployment
- · Enterprise support
What people are saying
Curated quotes from Hacker News, Reddit, Product Hunt, and review blogs. Dates shown so you can judge whether early criticism still applies.
- ·
“Continue.dev isn't the easiest AI coding assistant, and it's not the prettiest, but it's undeniably the most powerful and flexible option available.”
— Alex Carter, Medium review · Feb 2026 - +
“Custom model support protects from vendor lock-in, open-source transparency provides longevity and auditability — exactly what we needed for an enterprise rollout.”
— Engineering team review, AI Agents List · Mar 2026 - +
“Powerful Cursor/Copilot alternative — the deployment flexibility (cloud, on-prem, fully offline) is the killer feature for regulated environments.”
— IntelligentTools review, IntelligentTools · Mar 2026 - ·
“The bring-your-own-model story is great, but configuring everything yourself adds friction compared to tools that just work out of the box.”
— Developer review, Medium · Jan 2026
When to Choose Continue vs Sourcegraph Cody
- Standardized AI coding workflows across an engineering org
- On-prem or air-gapped development for regulated industries
- BYOK with no markup across many providers
How to Choose a Coding Agents Tool
Key criteria to evaluate when comparing Coding Agents solutions:
About Continue
Continue is an open-source AI code assistant for VS Code and JetBrains that lets developers and teams choose any LLM (Anthropic Claude, OpenAI GPT-4, Google Gemini, Mistral, or local models through Ollama) and deploy anywhere — cloud, on-premise, or fully offline. Continue ships in-editor autocomplete, chat, edit modes, and an agent mode that can take multi-step actions across the codebase.
What sets Continue apart is its emphasis on source-controlled, auditable AI workflows. Configurations, custom commands, and context providers live as files in your repo so every team member uses the same setup. Continue Hub adds enforceable CI checks for AI-generated code, plus a marketplace of shared prompts, rules, and assistant blocks that organizations can roll out company-wide.
Pricing is a generous open-source free tier, with paid plans starting at $10/month for Hub features (private rules, team analytics, advanced models) and enterprise tiers for on-prem and custom deployment. Continue's 'no vendor lock-in' positioning has made it the go-to for security- or compliance-sensitive engineering teams.
About Sourcegraph Cody
Sourcegraph Cody is an AI coding assistant that provides intelligent code completion, chat, and custom prompts within popular IDEs. The free plan offers unlimited autocompletion with 200 chats/prompts monthly. Cody Pro at USD 9/month provides unlimited autocompletion and increased chat limits. Enterprise at USD 59/user/month adds SSO, BYOK, and custom deployment. Important note: Cody Pro and Free will not be available for new signups starting June 25, 2025, with existing users losing access July 23, 2025. Sourcegraph is transitioning to Amp, their next-generation AI coding platform, though Enterprise customers remain unaffected by these changes.
What is Coding Agents?
AI-powered developer tools that can write, review, debug, and refactor code—ranging from IDE copilots to fully autonomous software engineering agents.
Browse all Coding Agentstools →Frequently Asked Questions
Other Coding Agents Tools
More Coding Agents Comparisons
Run Coding Agents in production with Respan
One platform for routing, observability, tracing, and evals across every LLM provider.