AI ReviewvsMira
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
AI Review
Nikita Filonov · Code review agent
#52OSS
Panel
7.02 spec wins
- Reliability
- 6.8
- Usefulness
- 6.8
- Cost
- 8.0
- Longevity
- 6.2
“It replies inside your existing review threads, so the argument you lost in March can now continue without you.”
Mira
Miracode · Code review agent
#69OSS
Panel
7.00 spec wins
- Reliability
- 6.8
- Usefulness
- 6.5
- Cost
- 8.5
- Longevity
- 6.2
“It includes org-wide package search, so you can find every repository that installed the dependency you now regret.”
Spec by spec
| Spec | AI Review | Mira |
|---|---|---|
| Architecture | ||
| Category | Code review agent | Code review agent |
| Runs | local, cloud | local, cloud |
| Platforms | macos, linux, windows | linux, web |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | No | No |
| MCP server | No | No |
| Capabilities | ||
| Runs terminal commands | YesOnly in agent mode, where the model runs read-only shell commands such as ls, cat, rg and git to explore the repository before reviewing. | No |
| Multi-file edits | No | No |
| Git operations | YesIt reads diffs from and writes comments and thread replies to six hosted VCS platforms; it does not commit or push. | Yes |
| Browser control | No | No |
| Sandboxed execution | No | No |
| Multi-agent orchestration | No | No |
| Headless / CI mode | Yes | Yes |
| Models | ||
| Backbone | OpenAI, Claude, Gemini, Ollama, AWS Bedrock, OpenRouter, Azure OpenAI | OpenRouter, Anthropic, OpenAI, Google, DeepSeek, Llama, vLLM, Ollama, Together, Groq, Fireworks, AWS Bedrock |
| Bring your own model | Yes | Yes |
| Local models | YesOllama is a first-class provider. | YesvLLM and Ollama are named among the supported OpenAI-compatible endpoints. |
| Cost | ||
| Pricing model | byok | byok |
| Starts at | $0/mo | $0/mo |
| Free tier | Yes | Yes |
| Bring your own key | Yes | Yes |
| Openness | ||
| Open source | Yes | Yes |
| License | Apache-2.0 | Apache-2.0 |
| GitHub stars | 585 | 354 |
Which one would each critic pick
| Critic | AI Review | Mira | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 7.3 | 7.3 | no preference |
| El Crítico | 6.3 | 6.5 | Mira — The learning loop synthesises rules from your merged history, so it learns what your team approved rather than what your team should have approved. |
| El Profesor | 7.0 | 7.0 | no preference |
| La Inversora | 6.3 | 6.3 | no preference |
| La Jefa | 7.3 | 7.3 | no preference |
| El Hacker | 7.8 | 7.8 | no preference |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.