Best On-Premises AI Coding Assistants of 2026 - Page 2

DryRun Security is an AI Native SAST and Agentic Code Security engine built to improve application security without burying teams in alerts. Traditional SAST flags patterns. DryRun Security adds context. Our proprietary Contextual Security Analysis engine reasons about code intent, exploitability, and impact, so AppSec focuses on what matters. In pull requests, the Code Review Agent posts PR comments and checks within moments of a push, with guidance developers can act on immediately. It uses specialized analyzers for common vulnerability classes like XSS, SQL injection, SSRF, IDOR, mass assignment, and secrets. For guardrails that match your environment, teams write Natural Language Code Policies in plain English and the Custom Policy Agent enforces them on every PR. When you need a deeper read, DeepScan Agent produces a prioritized full-repo report in about an hour, surfacing complex logic, authentication and authorization flaws, secrets exposure, and business-risk vulnerabilities. Code Insights Agent helps teams see trends across repos and produce audit-ready reporting faster. DryRun Security is designed for GitHub and GitLab permissioned workflows. It protects security with private LLM capabilities, avoids sending code to public AI systems, processes with ephemeral services, and retains only findings and minimal metadata for reporting.

Allocate tasks and leverage advanced AI agents alongside our worldwide network of developers to produce top-notch code. Expand your project capabilities without the need to boost your engineering team. When you find yourself with more tasks than you can handle, delegate them to GitStart. We are passionate about the transformative power of coding and are dedicated to nurturing the future talent in software development. Define the sections of your repository that GitStart can access with our safe git-sharing solution, allowing you to maintain control over your assets. With our system, you can selectively share information while safeguarding your configuration file. Break down your tasks into manageable sprint-sized tickets, and our AI assistant will aid in converting requirements into comprehensive tickets. To minimize lengthy review processes, GitStart submits pull requests that have undergone rigorous internal code assessments and quality assurance checks. You will evaluate the output in your repository, suggest any necessary modifications, and execute the merge. Additionally, you have the authority to accept or decline each pull request's cost estimate after we have clarified the project's scope and prior to the commencement of any tasks. By integrating GitStart into your workflow, you can streamline your development process while fostering innovation and efficiency.

Automate your documentation and fix bugs, performance and security issues. Connect your repository to Mimrr, and we'll do the rest. Analyzes changes in real-time to find and fix code quality issues. Efficiency is possible with our shared resources. We manage hosting, you reap all the benefits. Integrate our model into your infrastructure. You can host your docs either publicly for end users to use your APIs, or privately just for your team. Multiple projects can be viewed and organized in the same dashboard. Our semantic code chat will help you to get better results out of your codebase by making it easier for you to understand and onboard complex code. Spot-on code interaction using natural language prompts. You can easily add new hires from the Mimrr app's user management, located under your organization dashboard.

gpt-engineer is an open-source tool aimed at streamlining software development by allowing users to articulate their software needs using everyday language. By harnessing the power of AI, it produces and runs code aligned with user-defined parameters, thereby accelerating and simplifying the development journey. Furthermore, gpt-engineer is capable of applying suggested enhancements and managing iterative development cycles, which enables users to concentrate on more strategic aspects instead of getting bogged down in manual coding tasks. With its terminal-centric design, it serves as an excellent choice for developers looking for a flexible and modifiable platform to explore AI-driven programming. Additionally, its user-friendly approach fosters creativity and innovation in software design.

Introducing a reliable, on-premise generative AI solution designed specifically for enterprises that prioritizes data security. Customize it for your confidential and proprietary information without the need for internet access. Secure AI presents a robust alternative to ChatGPT, functioning on local servers to guarantee complete user data confidentiality. This innovative tool enables our clients to utilize Large Language Models (LLMs) with peace of mind, even when handling sensitive information. In addition to enhancing productivity by automating various tasks such as writing documents, drafting contract proposals, and aiding in software development, Secure AI stands out by eliminating the risks associated with transmitting sensitive data online. It operates seamlessly on your local systems, ensuring data remains private and accessible even in environments where ChatGPT may be restricted. With Secure AI, your business development team can efficiently generate the initial draft of a technical proposal, requiring no engineering assistance whatsoever, thereby streamlining the proposal process significantly. This capability not only saves time but also empowers teams to focus on strategic initiatives while maintaining utmost data security.

The leading open-source AI assistant. You can create custom autocomplete experiences and chats by connecting any models to any context. Remove the barriers that hinder productivity when developing software to remain in flow. Accelerate your development with a plug and play system that is easy to use and integrates into your entire stack. Set up your code assistant so that it can evolve with new capabilities. Continue autocompletes entire sections of code or single lines in any programming languages as you type. Ask questions about files, functions, the entire codebase and more by attaching code or context. Highlight code sections, then press the keyboard shortcut to convert code into natural language.

Mistral Code is a cutting-edge AI coding assistant tailored for enterprise software engineering teams that need frontier-grade AI capabilities combined with security, compliance, and full IT control. Building on the proven open-source Continue project, Mistral Code delivers a vertically integrated solution that includes state-of-the-art models like Codestral, Codestral Embed, Devstral, and Mistral Medium for comprehensive coding assistance—from autocomplete to agentic coding and chat support. It supports local, cloud, and serverless deployments, allowing enterprises to choose how and where to run AI-powered coding workflows while ensuring all code and data remain within corporate boundaries. Addressing key enterprise pain points, Mistral Code offers deep customization, broad task automation beyond simple suggestions, and unified SLAs across models, plugins, and infrastructure. The platform is capable of reasoning over code files, Git diffs, terminal output, and issues, enabling engineers to complete fully scoped development tasks with configurable approval workflows to keep senior engineers in control. Enterprises such as Spain’s Abanca, France’s SNCF, and global integrator Capgemini rely on Mistral Code to boost developer productivity while maintaining compliance in regulated industries. The system includes a rich admin console with granular platform controls, seat management, and detailed usage analytics for IT managers. Mistral Code is currently in private beta for JetBrains IDEs and VSCode, with general availability expected soon.

Decompute Blackbird offers a revolutionary alternative to the conventional centralized model of artificial intelligence by distributing AI computing resources. By allowing teams to train specialized AI models using their own data in its original location, the platform eliminates the dependence on centralized cloud providers. This innovative method empowers organizations to enhance their AI functionalities, enabling various teams to create and refine models with greater efficiency and security. The goal of Decompute is to advance enterprise AI through a decentralized infrastructure, ensuring that companies can maximize their data's potential while maintaining both privacy and performance levels. Ultimately, this approach represents a significant shift in how businesses can leverage AI technology.