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Qoder Teams Plan Officially Launches to Bring Agentic Coding to Real Software Development

Qoder , an agentic coding platform built for real software development, is officially launching its Teams Plan today. Modern enterprise software development operates at massive scale and complexity. Codebases span hundreds of thousands of files, and a single mistake can trigger cascading failures. As a result, quality standards are extremely high—not just for developers, but also for AI. Even though large language models and intelligent coding tools have improved dramatically, there is still a significant gap between what AI can do and what enterprise need in production. Qoder is designed to close that gap. A core pillar of Qoder is enterprise-grade knowledge and context. In real enterprise environments, developers rarely work in isolation. They must understand not only their own project, but also other codebases, existing technical frameworks, shared component libraries, internal and external APIs, and the organization’s broader architecture. Qoder provides enterprise-level knowledge orchestration by building a unified knowledge base across multiple repositories, open-source and internal frameworks, components, documentation, and everything else relevant to the project. With enhanced context technology, Qoder can search across more than 100,000 files at once. By combining repository content, wiki docs and automated memory perception, Qoder accurately assembles the right context based on a developer’s intent. All necessary knowledge is brought into the context window so that the AI can generate code that is not only syntactically correct, but truly usable and aligned with the existing system. Another key challenge in real software development is the gap between requirements and code. Large models are extremely powerful, but they are often limited by vague or underspecified instructions. In serious software projects, translating requirements into working code always involves an explicit design or specification step, especially when working within large, existing codebases. A spec-driven workflow gives AI a clear, deterministic path to follow. Qoder introduces Quest Mode to operationalize this spec-driven approach. Developers first express their intent in the form of a structured specification. That specification is then broken down into concrete tasks, which are delegated to Qoder’s agents. Qoder can execute these tasks locally, with each task running in its own isolated worktree and in parallel, or in secure cloud sandboxes. Each task includes explicit acceptance criteria, which are used to verify the results. This systematic, spec-driven and verifiable workflow is how Qoder enables AI to deliver enterprise-grade code that enterprises can trust. Qoder also offers full-form capabilities across the diverse toolchains that enterprises rely on. Real software development environments span multiple programming languages, stacks, and tools. Qoder is designed to meet teams where they already work. It is available as the Qoder IDE, as JetBrains plugins, and as a CLI. Regardless of which form developers choose, they get the same core agentic capabilities, backed by the same knowledge and context infrastructure. The deep integration with JetBrains IDEs provides rich awareness of complex backend and full-stack projects, while the CLI makes it possible to run Qoder anywhere an agent is needed, from local development environments to CI pipelines. The Qoder Teams Plan is built specifically for organizations. It includes centralized billing to simplify procurement and cost management, as well as SSO support for secure and seamless access across the team. Shared credit packages are coming soon, enabling companies to purchase credits centrally and let team members consume them on demand. With the launch of the Teams Plan, Qoder is making agentic coding truly practical for enterprise software development—moving beyond assistive coding toward reliable, production-grade collaboration between AI and enterprises.