Build, debug, and scale AI applications using a specialized suite of minimalist tools designed for AI engineers, featuring open-source agents and daily news.
CodeGPT
Streamline software development with an AI-first coding assistant that offers complete data sovereignty, model flexibility, and autonomous agentic workflows.
About CodeGPT
CodeGPT is an agentic AI platform designed to transform software development through deep IDE integration and flexible model selection. It serves as an advanced coding assistant that goes beyond simple text completion, offering a Bring Your Own Key (BYOK) architecture. This allows developers to connect directly to various AI providers—including OpenAI, Anthropic, and Google—or run local models through tools like Ollama. By acting as a thin layer between the developer and the AI model, the platform ensures that users retain full control over their data and API costs without unnecessary service markups. The tool integrates natively into Visual Studio Code and JetBrains IDEs, providing a suite of features such as real-time code generation, refactoring, and proactive debugging. One of its standout capabilities is the Agentic Mode, where AI agents can autonomously plan and execute multi-step tasks. This includes writing code across multiple files, running tests, and iterating on solutions until a specific goal is met. Additionally, the platform provides living documentation and multilingual code intelligence, which helps teams maintain codebases across different programming languages and frameworks while keeping documentation synchronized with the current state of the repository. CodeGPT is built for a wide range of users, from individual developers seeking a privacy-focused alternative to mainstream assistants to large enterprises requiring SOC 2-compliant solutions. It is particularly beneficial for organizations with strict data residency requirements, as its self-hosted and local model capabilities prevent sensitive source code from leaving the internal environment. Teams looking to automate manual processes like documentation generation or legacy code modernization will find the platform's custom agentic workflows highly effective for increasing overall engineering velocity. What sets CodeGPT apart is its commitment to transparency and model agnosticism. Unlike competitors that lock users into specific proprietary models, CodeGPT allows users to switch between the latest industry-leading LLMs or niche open-source models instantly. Its no middleman philosophy means users only pay for the AI they actually consume through their own API keys, or they can opt for local execution for zero-cost operation. Furthermore, the company offers AI-First Services, providing expert consulting for custom AI agent development and enterprise-grade voice agents, bridging the gap between a standard IDE extension and a full-scale digital transformation partner.
CodeGPT pros & cons
Pros
- Allows full data sovereignty by using local models or your own API keys
- Support for a vast range of models including Claude, GPT-4, and Llama
- Agentic mode can autonomously handle complex multi-file coding tasks
- Natively integrates with VS Code and JetBrains for a seamless workflow
- Transparent pricing model with no markups on third-party API usage
Cons
- Agentic mode and auto-complete require a paid monthly subscription
- Users must manage their own API keys and provider billing for the free tier
- Advanced enterprise services require custom pricing and consultation
CodeGPT use cases
- Individual developers can use local models via Ollama to maintain 100% privacy while getting AI-powered coding assistance.
- DevOps engineers can utilize the agentic mode to automate the creation of complex deployment scripts across multiple repositories.
- Enterprise teams can leverage the SOC 2-certified environment to ensure corporate code never trains external models.
- Legacy system maintainers can use multilingual intelligence to refactor or translate outdated codebases into modern frameworks.
- Technical writers can generate and automatically update documentation across teams using the living documentation feature.
CodeGPT features
- soc 2 certified security
- living documentation generation
- visual studio code & jetbrains extensions
- local model integration (ollama)
- support for 15+ ai providers
- real-time ai auto-complete
- agentic ai planning and execution
- bring your own key (byok) architecture
CodeGPT pricing
Is CodeGPT free? Yes, CodeGPT has a free plan, and paid plans start at $6.67 / month/seat.
AutoComplete Add-on (Monthly)
$8 / month
- Unlimited auto-complete included
- Agentic mode with planning
- Multi-file task execution
- All Free plan features
- Advanced interactions
- No usage of tokens for completion
AutoComplete Add-on (Annual)
$6.67 / month/seat
- Unlimited auto-complete included
- Agentic mode with planning
- Billed annually at $80/year
- All Free plan features
- Advanced interactions
- Ideal for professional developers
AI-First Services
Price varies
- AI Voice Agents (ElevenLabs)
- Omnichannel agent deployment
- Custom AI workforce
- SSO & Enterprise security
- Self-hosted deployments
- Technical enablement & support
Free
Free
- BYOK access to 15+ AI providers
- Unlimited interactions (with own keys)
- Connect local models (Ollama, LM Studio)
- Buy token credits optionally
- Standard IDE integration
- 30 free interactions trial
CodeGPT FAQs
What is the primary difference between the Free and AutoComplete plans?
Both allow unlimited interactions via your own API keys, but the AutoComplete plan adds unlimited real-time code suggestions and an Agentic Mode. This mode enables the AI to plan and execute complex, multi-step tasks across several files autonomously.
Which AI models can I use with CodeGPT?
The platform supports over 15 providers, including OpenAI (GPT-4), Anthropic (Claude), Google (Gemini), and Meta (Llama). You can also connect local models using Ollama or use cloud services like AWS Bedrock and Azure OpenAI.
How does the AI auto-complete feature work?
It predicts and suggests lines or blocks of code in real-time by analyzing your codebase context and coding patterns. Importantly, this feature is provided directly by CodeGPT and does not consume your personal API tokens or credits.
Can I run CodeGPT entirely offline or locally?
Yes, you can connect CodeGPT to local model providers like Ollama or LM Studio. This setup ensures that your code stays on your machine, providing a privacy-first experience for sensitive projects.
Is CodeGPT suitable for enterprise-level security requirements?
Absolutely, the platform is SOC 2 certified and offers flexible deployment options, including self-hosted and private cloud environments. It also supports SSO and provides tools for governance and compliance.
Ratings & reviews
No reviews yet. Be the first to share how CodeGPT worked for you.
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