AI-DLC, the AI-Driven Development Life Cycle from AWS Labs, turns AI coding assistants into structured and verifiable delivery workflows. One harness-neutral core runs natively in Claude Code, Kiro CLI, Kiro IDE, Codex CLI, Cursor, opencode and GitHub Copilot, installed through a native aidlc command.
Be the first to rate AI-DLC. Your feedback helps other users decide.
Give every coding assistant the same delivery process
Keep one core across several coding tools
Install the same steering rules on every developer machine
Similar tools in the same category โ compare side-by-side
Pocketty is an SSH terminal for iPhone and iPad built for watching coding agents. It alerts your pho...
ai-deslop is a set of opinionated Oxlint rules that reject low-evidence, low-signal AI slop patterns...
Jotbus gives coding agents a shared, end-to-end encrypted scratchpad so they stop copying context be...
Guides and comparisons about code tools
Nine tools for supervising coding agents: phone alerts when an agent blocks, review inboxes, menu-bar contacts, shared scratchpads and team boards.
AI code tools for web developers in 2026: frontend scaffolding, framework-aware suggestions, and review helpers that respect your design system.
AI pair programming tools compared: suggestions, chat, and autonomous edits, and how to pick one that fits your editor and review style.
Eleven new tools for running coding agents: sandboxes, agent version control, local runtimes and quantizers launched between April and October 2026.
Ten October 2026 agent infrastructure launches: local inference engines, sandboxes that report their isolation boundary, agent memory and MCP testing.