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[EP5] The Future of AI Coding in 2026 - Scenario-based Recommendations and MoAI-ADK Roadmap
8.13min
MoAI-ADKAI CodingTool ComparisonRoadmapClaude CodeOpenCodeoh-my-opencodeDeveloper Tools
Comprehensive comparison of 4 AI coding tools across 12 items, optimal tool selection guide by scenario, and analysis of MoAI-ADK v0.5.0 roadmap. Series finale.
SeriesEP 5 / 5
Concluding the Series
Across five episodes, this series analyzed the present and future of AI coding tools. From Base Layer to Enhancement Layer, from technical features to ToS risks, all aspects were thoroughly examined.
In this final episode, all content is synthesized to provide practical selection guidance. The future envisioned by MoAI-ADK and the v0.5.0 roadmap are also analyzed.
1. Comprehensive Comparison Table
Four tools are compared across 12 items.
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| Evaluation Item | OpenCode | Claude Code | oh-my-opencode | MoAI-ADK |
|---|---|---|---|---|
| Cost | Free+API+Sub | $17-200+API | Free+Sub+API | Sub+API |
| Model Flexibility | 75+ LLM | Claude-only | Multi-model | Claude+GLM |
| Task Decomposition | Basic | Basic | Auto team allocation | EARS+SPEC |
| Execution Capability | Basic | Basic | Unlimited autonomous | Checkpoint-based |
| User Control | Medium | Medium | Low | High (8 mechanisms) |
| Parallel Processing | Basic | Subagent | Background | 3-tier |
| TDD Support | ❌ | ❌ | ❌ (unconfirmed) | ✅ SPEC-First |
| Quality Gates | ❌ | ❌ | ❌ (unconfirmed) | ✅ TRUST 5 |
| Agent Count | 2 (Build/Plan) | Basic | 6 teams | 20 specialized |
Key Insights
A notable point from this comparison table: Convenience and safety often trade off.
oh-my-opencode automates everything with a single word "ultrawork". It is highly popular in developer communities both domestically and internationally.
On the other hand, MoAI-ADK focuses on predictable quality and long-term stability. While not pursuing complete agentic autonomy, it aims for safer automation.
The choice depends on the developer's situation. Both were created by Korean developers. It would be great if both succeed both domestically and internationally.
2. Scenario-based Recommendations
2.1 Rapid Prototyping
Recommended: OpenCode
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Reasons:├── Can start for free├── Can experiment with various models├── Quick installation and startup└── Stage where speed is more important than quality
The prototype stage does not require perfect code. Quickly validating ideas is key. OpenCode's flexibility fits this stage.
2.2 Enterprise Development
Recommended: Claude Code or MoAI-ADK
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When selecting Claude Code:├── Leverage team's existing Claude experience├── Require official support and SLA└── Start with minimal setupWhen selecting MoAI-ADK:├── TDD and quality gates essential├── Utilize 20 specialized agents└── Long-term project stability important
In enterprise environments, ToS compliance and support availability are key.
2.3 Multi-Model Experimentation
Recommended: oh-my-opencode
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Advantages:├── Freely switch between GPT, Claude, Gemini├── Leverage each model's strengths└── Cost optimization possibleCautions:└── Claude OAuth usage unavailable since January 2026 (OpenAI subscription account usable)
If wanting to experiment with various models, oh-my-opencode remains a good option. However, use with full awareness of risks. Autonomy comes with responsibility.
2.4 Quality-focused Development
Recommended: MoAI-ADK
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Reasons:├── TRUST 5 quality gates├── 85% test coverage target├── RED-GREEN-REFACTOR TDD├── Ralph Engine automatic quality validation└── 8 control mechanisms
If wanting to build it right from the start rather than "make it work first and fix later," MoAI-ADK is the answer.
2.5 Autonomous Execution Preference
Recommended: oh-my-opencode
The experience of starting with "ultrawork" and finding it finished after a coffee break is attractive. The reason for its popularity among developers worldwide is partly convenience.
2.6 Control-focused Development
Recommended: MoAI-ADK
AI writes code, but all important decisions are made by humans. This is MoAI-ADK's philosophy. Eight control mechanisms guarantee this.
3. MoAI-ADK v0.5.0 Roadmap (Scheduled for January 10, 2026 Release)
3.1 Recent Trends
Early 2026 saw important changes in the AI coding tool market:
- Anthropic OAuth Blocking: Third-party tools cannot use Claude subscriptions
- OpenCode's Rapid Pivot: Announced OpenAI cooperation one day after Anthropic blocking, v1.1.11 supports ChatGPT Plus/Pro integration
- OpenCode Surpasses 560K Stars: Grew to become the most popular open-source AI coding tool
These changes present two directions: choosing between the stability of official channel-based tools (Claude Code, MoAI-ADK) and the flexibility of the open-source ecosystem (OpenCode).
3.2 v0.5.0 Planned Updates
| Feature | Description | Status |
|---|---|---|
| Official Claude Code Base | Maintain Anthropic official CLI extension | ✅ Current |
| GLM Integration | z.ai GLM-based cost-efficient alternative | ✅ Implemented |
| Multi-AI Model Support | Simultaneous Claude Code + GLM utilization | ✅ Implemented |
| OpenCode Plugin SuperMoAI | Simultaneous OpenAI + GLM utilization | 🚧 Testing complete, unreleased |
| Worktree Multi-LLM Parallel Dev | Simultaneous Opus + GLM 4.7 with moai-wt command | ✅ Implemented |
3.3 v0.5.0 Vision
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The core of v0.5.0 is automatic model selection based on task characteristics:
- Tasks requiring high quality (architecture decisions, complex logic): Claude 4.5 Opus
- Tasks requiring bulk processing (repetitive code generation, refactoring): Claude 4.5 Opus + GLM 4.7
This pursues both cost efficiency and quality simultaneously.
4. MoAI-ADK's Differentiated Value
Analysis throughout the series reveals MoAI-ADK's core values:
4.1 100% ToS Compliance
Based on official Claude Code CLI, no account risk. This is not simply a technical issue but a business continuity issue.
4.2 Systematic Quality Management
EARS + SPEC + TRUST 5 guarantee reproducible quality. Prevents situations where "things work out well with luck, and fail with bad luck."
4.3 Controlled Automation
The phrase "execution power without runaway" is appropriate. Utilizes AI's strong productivity while humans make important decisions.
4.4 Extensible Architecture
The 20 specialized agent ecosystem continues to expand. Custom agents can be added as needed.
4.5 Future Readiness
v0.5.0 multi-AI model support avoids vendor lock-in. Alternatives exist (OpenCode plugin SuperMoAI) even when Claude is not optimal.
5. Areas for Improvement
MoAI-ADK is not perfect. Some areas deserve honest acknowledgment:
5.1 Learning Curve
The current learning curve is steep. A simplified mode for beginners is needed.
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Improvement Direction:├── Add /moai:quickstart command├── Interactive tutorial└── Step-by-step onboarding guide
5.2 Checkpoint Frequency
For some users, checkpoints may be too frequent.
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Improvement Direction:├── Fast mode (minimize checkpoints)├── User-configurable settings└── Auto-proceed option when quality gate passes
5.3 Entry Barrier
Twenty agents and 90+ skills may burden first-time users. Using just
/moai:alfred is sufficient when convenience is desired.Plain Text
Improvement Direction:├── Distinguish essential vs. optional agents├── Context-based agent recommendations└── Progressive feature introduction
6. Conclusion: What to Choose
The conclusion of this series in one sentence:
"Find the balance point that suits your situation between convenience and safety, autonomy and control."
Quick Decision Guide
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Final Recommendations
| If you... | Recommended Tool |
|---|---|
| Starting AI coding for first time | OpenCode |
| Need stable tool | Claude Code |
| Want maximum automation | oh-my-opencode (global mainstream) |
| Want both quality and control | MoAI-ADK |
Concluding the Series
Through five episodes, the present state of AI coding tools was examined in depth.
2026 is the maturity stage of AI coding tools. The core question is no longer "Can AI write code?" but rather "Which AI tool to utilize and how?"
We hope this series helped you find answers to that question.
Next time, we will return with more in-depth technical analysis.
MoAI-ADK Key Metrics
| Metric | Value | Description |
|---|---|---|
| Flagship Command | 1 (/moai:alfred) | One-click development automation |
| Workflow Steps | 3 | Plan → Run → Sync |
| Specialized Agents | 20 | Expert(8) + Manager(8) + Builder(4) |
| Domain Skills | 90+ | Language, platform, domain coverage |
| Programming Languages | 16 | Python, TS, Go, Rust, Java... |
| UI Languages | 4 | EN, KO, JA, ZH |
| LLM Modes | 3 | opus-only, hybrid, glm-only |
| CLI Startup Time | 75% reduction | 400ms → 100ms |
| Test Coverage | 85% target | TRUST 5 standard |
| /moai:alfred Code | 759 lines | Flagship command definition |
| Ralph Engine | 308 lines | Quality assurance core |
| Skill Loading System | 580 lines | Skills management |
| Claude Integration | 394 lines | Headless automation |