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Compare/Augment Code vs DevoxxGenie

Augment CodevsDevoxxGenie

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Augment Code
Augment Code · IDE extension
#32MCP
Panel
6.3
4 spec wins
Reliability
6.3
Usefulness
7.0
Cost
5.2
Longevity
6.5

“Charges the model's list price plus a 40 percent service fee, which is at least a markup you can read without a lawyer.”

DevoxxGenie
Devoxx · IDE extension
#21OSSMCP
Panel
7.7
7 spec wins
Reliability
7.2
Usefulness
7.5
Cost
8.8
Longevity
7.3

“It ships a kanban board backed by Backlog.md, so your agent can now be blocked on a ticket like everybody else.”

Spec by spec

SpecAugment CodeDevoxxGenie
Architecture
CategoryIDE extensionIDE extension
Runslocal, cloudlocal
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverYesNo
Capabilities
Runs terminal commandsYesYesAgent Mode ships a run_command tool alongside its file and search tools.
Multi-file editsYesYes
Git operationsYesNo
Browser controlNoAuggie ships web-search and web-fetch tools only, so it can read pages but cannot drive a browser; browser automation requires adding a third-party MCP server. No
Sandboxed executionYesCosmos cloud environments are built from a Docker base image you pick from any public registry and each session starts from a fresh isolated snapshot; the local Auggie CLI has no sandbox, and self-hosted daemons isolate only via per-session Git worktrees. No
Multi-agent orchestrationYesYesAgent Mode runs parallel sub-agents, and ACP and CLI runners let it drive Claude Code, Codex, Gemini CLI, Kimi and Copilot as external agents.
Headless / CI modeYes`auggie --print` runs non-interactively for scripts and CI, and Augment publishes GitHub Actions wrappers for PR descriptions and reviews. No
Models
BackboneClaude, GPT, Gemini, GLM, KimiOllama, LMStudio, GPT4All, Llama.cpp, OpenAI, Anthropic, Gemini, Mistral, Groq, DeepSeek, Kimi, GLM, OpenRouter, Azure OpenAI, Amazon Bedrock
Bring your own modelNoModel choice is limited to Augment's curated list via /model or --model; no custom base URL, LLM gateway, or Bedrock/Vertex/Azure deployment is documented. Yes
Local modelsNoNo local or OpenAI-compatible endpoint is documented; inference always runs through Augment. Yes
Cost
Pricing modelmixedbyok
Starts at$20/mo$0/mo
Free tierNoYes
Bring your own keyNoLLM usage is billed by Augment as provider cost plus a 40% service fee; supplying your own provider key or cloud account is not documented. Yes
Openness
Open sourceNoYes
LicenseproprietaryMIT
GitHub stars283683

Which one would each critic pick

CriticAugment CodeDevoxxGeniePick
El Juez——not enough reviews
El Amigo7.08.0DevoxxGenie — Pick DevoxxGenie if you live in IntelliJ and want an agent that edits code for free; pick Firebender if you would rather pay someone to answer the phone when it breaks.
El Crítico6.07.0DevoxxGenie — The run_command tool executes on your machine inside the IDE process, with no isolation layer described between a generated command and your shell.
El Profesor6.58.0DevoxxGenie — Gitleaks, OpenGrep and Trivy are wired in as agent tools and their findings become prioritised backlog tasks, which grounds the work queue in analysers rather than in the model's opinion.
La Inversora7.07.3DevoxxGenie — The publisher is a conference organisation, not a company, and it has shipped since April 2024 with 679 stars. Nobody here needs an exit, which is the point.
La Jefa6.87.3DevoxxGenie — Zero across sixty seats and installed from a marketplace my desktop policy already permits, with no console, no directory sync and no audit trail behind it.
El Hacker4.38.8DevoxxGenie — MIT, and five local runtimes are first-class providers, so the whole loop runs with nothing leaving the machine. MCP servers install from a marketplace over stdio or HTTP and SSE.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

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