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コード実行ツール利用ブラウザ操作メモリ
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Devin vs GitHub Sparkwhich AI code agent should you pick in 2026?
Autonomous AI software engineer that ships PRs end-to-end.
CodeTool useBrowserMemory
GitHub's natural-language micro-app builder — describe a personal app, get a deployed working version.
CodeTool useMemory
Devin vs GitHub Spark — specs
| Spec | Devin | GitHub Spark |
|---|---|---|
| Agent Rank | 78 / 100 (A) | 68 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription · from $500 | Subscription · from $21 |
| Open source | No | No |
| Capabilities | Code, Tool use, Browser, Memory | Code, Tool use, Memory |
| Integrations | 3 apps | 1 apps |
| Verified | Verified | Verified |
| Released | May 2025 | May 2025 |
Agent Rank breakdown
Devin
Agent Rank
78/ 100
- 自律性
- 9
- 機能
- 8
- 連携
- 6
- 料金
- 4
- 完成度
- 10
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
GitHub Spark
Agent Rank
68/ 100
- 自律性
- 9
- 機能
- 6
- 連携
- 2
- 料金
- 8
- 完成度
- 6
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
Devin
メリット
- +Highest autonomy in the coding category — ships PRs end-to-end with minimal oversight
- +Iterates on failing tests until they pass; explains what it did in the PR description
- +Multi-agent UI for managing parallel sessions
デメリット
- −Pricing puts it firmly in team territory — overkill for solo founders
- −Will ship working code that's wrong for your codebase if architectural context is missing
- −Session memory weak past hour-long stretches
GitHub Spark
メリット
- +Native GitHub integration — apps deploy with one click
- +Bundled with Pro+ subscription — no separate billing relationship
- +Best for "personal apps" use case (Slack tools, side-project utilities)
デメリット
- −Newer than Lovable/Bolt — fewer templates and patterns
- −Less flexible than dedicated builders for production apps
- −Limited to specific app shapes — not a general-purpose builder yet
Pricing
Devin
Core
$500/月
Small teams
- +Unlimited sessions
- +Slack + GitHub + Linear integrations
- +10 concurrent sessions
- +Email support
おすすめ
Team
$1500/月
Engineering teams
- +Everything in Core
- +Priority queue
- +40 concurrent sessions
- +SSO
- +Shared knowledge base
Enterprise
カスタム
Large orgs
- +Custom concurrency
- +Dedicated VPC option
- +SOC 2 II reports
- +Onboarding engineer
GitHub Spark
GitHub Pro+
$21/月
Individual builders
- +Spark included with Pro+
- +Generate + deploy micro-apps
- +GitHub-native hosting
Business / Enterprise
カスタム
Teams
- +Org policies
- +Custom domains
- +SSO
Which one should you pick?
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Frequently asked
Should I pick Devin or GitHub Spark in 2026?+
Pick Devin if its specific capabilities (Code, Tool use) match what you need. Pick GitHub Spark if cost is the main constraint. Most working teams running both can use Devin for primary work and GitHub Spark for the workflows where its specific strengths matter.
What's the price difference between Devin and GitHub Spark?+
Devin starts at Subscription · from $500; GitHub Spark starts at Subscription · from $21. GitHub Spark is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Devin or GitHub Spark?+
Both Devin and GitHub Spark are Autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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Autonomous "Droid" agent for end-to-end engineering with native AGENTS.md support.
コード実行ツール利用メモリマルチエージェント
Demo · hover to play長文コンテキストで訓練された自律的AIエンジニア — 長時間のコーディングセッションでも文脈を維持します。
コード実行ツール利用メモリ
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See more alternatives: alternatives to Devin · alternatives to GitHub Spark
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