7 AI Devtools to Watch This December

Source: Dev.to

Conductor

Conductor tackles a fundamental problem that emerges as coding agents become more capable: how to manage multiple agents working simultaneously without losing track of their changes. The tool runs on macOS and orchestrates parallel workspaces—each agent gets its own isolated Git worktree.

Key points

• Orchestration layer – Provides visibility into what each agent is doing and structured review mechanisms for merging changes.
• Supported models – Works with Claude Code, Codex, and any model you’re already authenticated with.
• Workflow fit – Operates in attended workflows; you review and merge agent output, so the trust requirement is moderate.
• Change impact – Low, if you already use coding agents; Conductor simply adds scalable coordination.

conductor.build

Graphite

Graphite rethinks code review for teams that ship faster with AI. Traditional PR workflows weren’t designed for the velocity AI enables, so Graphite introduces stacked PRs—breaking large changes into sequenced, smaller chunks that can be reviewed independently.

Features

• AI agent in PR page – Resolves CI failures, suggests fixes, and helps iterate without context switching.
• Stack‑aware merge queue – Lands PRs in order while keeping branches green.
• GitHub sync – Fits directly into existing workflows, delivering immediate value for teams struggling with review bottlenecks.

graphite.com

Code Wiki (Google)

Google’s Code Wiki generates comprehensive documentation for a repository and automatically regenerates it after every change. The system scans the full codebase, maintains links to every symbol, and creates interactive documentation that can be navigated from high‑level explanations down to specific code locations.

• Gemini‑powered chat – Uses the always‑current documentation as context for answering questions about the codebase.
• Public preview – Available for open‑source projects; a Gemini CLI extension is in development for private repositories.
• Trust considerations – Gemini can make mistakes, so verification against the linked code is essential.

codewiki.google

Tessl

Tessl’s open‑source registry tackles the broader challenge of giving agents the right documentation context at the right time. It provides version‑aware library documentation, coding style guides, and reusable workflows that agents can reliably pull from, treating documentation as structured context for steering rather than just a human reference.

(No external link provided in the source material.)

Kilo

Kilo positions itself as an open alternative in the coding‑agent space. It lets you switch between 500 + models, bring your own API keys, and inspect every prompt and tool call.

Highlights

• Orchestrator mode – Breaks complex projects into subtasks and coordinates between different agent modes.
• Context7 integration – Automatically looks up library documentation to reduce hallucinations.
• Debug mode – Systematically traces through your codebase to locate bugs.
• Transparency – No hidden model switching or silent context compression; pricing is pay‑as‑you‑go from providers, with Kilo monetizing only Teams/Enterprise features.
• IDE integration – Available as a plugin for VS Code or JetBrains, fitting into existing workflows while offering model flexibility.

(No direct link provided in the source material.)