This topic covers AI coding agents that integrate directly with the developer terminal and IDE workflows in 2026, including agent frameworks, marketplaces, and generation/review tools. Based on the provided tool descriptions, the landscape now mixes AI‑native IDEs (Windsurf), open‑source assistants (Tabby, CodeGeeX), autonomous agent platforms (AutoGPT, GPTConsole), and specialized services for code review and CI‑level automation (CodeRabbit, JetBrains AI Assistant). Relevance: by 2026 agentic features — multi‑step workflows, memory, event chaining and lifecycle management — have moved from research demos into developer toolchains. Teams choose between cloud SaaS, local/self‑hosted stacks for privacy and latency, and hybrid multi‑model setups. Terminal‑centric agents are particularly useful for scripting, repository automation, CI/CD tasks, and quick in‑context edits without leaving the shell. Key tools and roles: Windsurf (formerly Codeium) positions an AI‑native IDE and agentic platform with Cascade agents, live previews and multi‑model support; Tabby and CodeGeeX offer open‑source, self‑hostable code completion and model serving; AutoGPT and GPTConsole provide agent orchestration, SDKs and CLIs for building autonomous workflows; JetBrains AI Assistant embeds context‑aware copilots in IDEs; CodeRabbit focuses on AST‑aware, feedback‑learning code reviews; Replit and Syth target rapid prototyping and no‑code/low‑code builders. What to evaluate: agent composability, local vs cloud hosting, model governance, CI/terminal integration, and extensibility (SDKs, plugins, marketplaces). This comparison helps teams pick agents that match constraints on security, latency, and developer flow rather than vendor hype.