From Editor Feature to Developer Infrastructure
AI coding agents are moving from niche editor features into the core of developer tools infrastructure. Cursor’s new SDK is a clear signal of that shift. Instead of just embedding AI into an IDE, the Cursor SDK platform exposes the same runtime and harness that power its editor, so developers can build agents as reusable infrastructure components. The harness automates chores like connecting to MCP servers, managing agent skills, watching and extending an agent’s loop of perception, reasoning, and action, and spawning subagents for specialized tasks. Cursor frames this as a “third era” of software development, where maintaining a codebase becomes a shared effort between humans and orchestrated agents. Early adopters see the appeal of running many agents in parallel from both the editor and the CLI for developers, but the public beta still faces gaps, especially around Python support and long-term stability for production-grade workflows.
Amp Neo and the Terminal as an Agent Control Surface
If AI coding agents no longer live in a single editor window, what happens to the terminal? Amp’s Neo CLI suggests it becomes a control surface rather than the primary workbench. Neo is a rebuilt CLI for developers that can be remote-controlled and extended via plugins, designed specifically for longer-running agent workflows. Developers can start an agent thread locally, then attach to the same session through Amp’s web UI, which streams live terminal output and accepts new prompts, queued instructions, or interrupts from the browser. This hybrid model underlines Amp’s argument that traditional, session-bound coding agents are giving way to cloud-based coding systems that operate across environments. The terminal “still matters,” but as one of several entry points into a persistent, agentic backend, not the single, fragile context where all work must happen.
Reck Connect and the End of the Fragile Laptop
As AI coding agents grow more autonomous and resource-hungry, the laptop is emerging as a bottleneck. Reck Connect targets this pain point by treating the laptop as a thin interface while shifting the heavy lifting to a separate desktop or workstation. The company leans into the resurgence of text-based CLI workflows, arguing that terminals are distraction-free, naturally text-centric for large language models, and better suited to a supervisor-style development process. In this model, developers orchestrate AI coding agents that generate, test, and modify code, instead of typing every line themselves. But when everything runs locally, a dead laptop can still halt the entire workflow. By decoupling sessions from physical machines, Reck Connect aims to make coding sessions persistent and device-independent, aligning with a future where the core development environment lives in the cloud, not on a single, failure-prone device.
Google Antigravity and the Mental Shift to Agent Management
Google Antigravity illustrates how AI coding agents are changing not just tools, but developers’ mental models. It does not try to be a feature-by-feature rival to traditional text editors. Instead, it reframes the IDE as a mission-control dashboard for orchestrating multiple agents at once. Power users accustomed to carefully curated file trees and manual editing discover that the classic text editor is no longer the center of gravity. In Antigravity, one agent might refactor a database schema while another simultaneously builds corresponding frontend components, with the human developer issuing high-level instructions and supervising outcomes. This pushes coding toward strategy and system design rather than keystroke-level productivity. The experience can be disorienting for developers who took pride in knowing every line of code, but it aligns with a broader shift: AI coding agents are becoming collaborators embedded into the development environment itself, not just autocomplete on steroids.
Cloud vs. Terminal: The Next Interface for AI-Assisted Development
Across Cursor, Amp, Reck Connect, and Google Antigravity, a common tension emerges: will the future of AI-assisted development be driven by the terminal, or by cloud-based coding environments? Cursor and Antigravity push toward rich, agent-aware editors that treat agents as first-class infrastructure. Amp’s Neo uses the CLI as a bridge to a remote, persistent agent backend. Reck Connect doubles down on terminal-first workflows but relocates execution away from the fragile laptop and toward more durable remote machines. The likely answer is not a single dominant interface, but a layered ecosystem. The terminal becomes one of several control surfaces; the editor becomes an agent manager; and the cloud hosts long-lived, shareable agent sessions. For developers, the practical question is no longer which IDE to use, but which agent platforms will best integrate into their workflows, organizations, and existing developer tools infrastructure.