Best AI Coding Assistants for Express

Line0 serves as a development platform driven by artificial intelligence, specifically crafted for backend developers, to swiftly generate Express.js APIs via natural language queries. This innovative platform boasts two-way synchronization with GitHub, which allows for smooth integration with current repositories and promotes teamwork among developers. To boost productivity, it provides prompt enhancement features that guarantee user inputs are accurately converted into operational code. Currently in public beta, Line0 is set to broaden its features, incorporating functionalities such as live preview sandboxes, API client utilities, and automatic documentation creation, all aimed at simplifying the backend development workflow. Additionally, the platform's focus on user experience is evident in its commitment to continuous improvement and updates based on user feedback.

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.