Repo Prompt

Qoder is an agentic coding platform engineered for real software development, designed to go far beyond typical code completion by combining enhanced context engineering with intelligent AI agents that deeply understand your project. It allows developers to delegate complex, asynchronous tasks using its Quest Mode, where agents work autonomously and return finished results, and to extend capabilities through Model Context Protocol (MCP) integrations with external tools and services. Qoder’s Memory system preserves coding style, project-specific guidance, and reusable context to ensure consistent, project-aware outputs over time. Developers can also interact via chat for guidance or code suggestions, maintain a Repo Wiki for knowledge consolidation, and control behavior through Rules to keep AI-generated work safe and guided. This blend of context-aware automation, agent delegation, and customizable AI behavior empowers teams to think deeper, code smarter, and build better.

Brokk is an AI-native code assistant built to handle large, complex codebases by giving language models compiler-grade understanding of code structure, semantics, and dependencies. It enables context management by selectively loading summaries, diffs, or full files into a workspace so that the AI sees just the relevant portions of a million-line codebase rather than everything. Brokk supports actions such as Quick Context, which suggests files to include based on embeddings and structural relevance; Deep Scan, which uses more powerful models to recommend which files to edit or summarize further; and Agentic Search, allowing multi-step exploration of symbols, call graphs, or usages across the project. The architecture is grounded in static analysis via Joern (offering type inference beyond simple ASTs) and uses JLama for fast embedding inference to guide context changes. Brokk is offered as a standalone Java application (not an IDE plugin) to let users supervise AI workflows clearly.