Legacy-term pillar
AI coding agent.
An AI coding agent is an LLM-powered system that writes, edits, or refactors code on a developer's behalf. The leading agents in 2026 (Cursor, GitHub Copilot, Devin, Windsurf, Claude Code) each solve one slice of the work: in-editor completion, autonomous pull requests, or CLI-resident reasoning. They're useful for an engineer who already knows what to build. They're not enough when the goal is shipped product, end to end. That's the territory of agentic development platforms like StackWeavers.
Last updated 2026-05-23.
The AI coding agent landscape (2026).
By form factor:
- IDE-resident: Cursor, Windsurf, GitHub Copilot. Augments a developer in the editor.
- CLI-resident: Claude Code, Codex. Terminal-native reasoning, one task at a time.
- Autonomous agent: Devin. Takes a ticket, returns a pull request.
- Chat-to-app: Lovable, Bolt, v0, Replit. Generates a prototype from a prompt.
- Platform: StackWeavers, Factory. End to end: vision, backlog, vertical slice, deploy, observability.
The IDE and CLI tools (Cursor, Copilot, Claude Code, Codex, Windsurf) make a developer faster in the editor. StackWeavers doesn't compete with those; we complement them. We compare against the tools that also try to deliver a finished product. See those side-by-sides.
When an AI coding agent isn't enough.
- • The buyer doesn't have engineers (a non-technical founder).
- • The work needs backlog refinement and scope lock before execution.
- • The output has to pass automated quality gates before merge.
- • The code has to be deployable to the customer's cloud (BYOK).
- • The codebase has to be pickup-ready by other developers and other agents (no lock-in).
That's the territory of agentic development platforms.