Files
myworkspace/Multi-Agent Development Pattern.md

12 KiB
Raw Permalink Blame History

I don't expect to use one or the other, but am rather expect to use them together. My current pain point is that cline requires too much hand-holding and manual steps. I feel like I give it enough context and direction that it should be able to iterate to a solution, but the first iteration is buggy and it needs continuous input to debug each iteration. I spend a lot of time debugging the workflow such as a test harness rather than on refining the 'product'. VSCodium also has a terminal window and I can open multiple terminals right in my IDE, so I think I could use claude code and/or open code for specific tasks when CLINE struggles.

Your instinct is sound: Cline is great when you want to stay in the IDE, but it can become the bottleneck if you spend too much time correcting its first pass instead of moving the product forward. For the workflow you described, Id treat Cline as the interactive front end and Claude Code or OpenCode as the autonomous back-end helper for tasks that need longer, cleaner iteration loops.1 2 3

Where Cline helps

Cline is designed to work in the editor, ask for approvals, edit files, run commands, and preserve control with a human-in-the-loop model. That makes it good for scoped work where you want to supervise changes closely, especially when youre refining product behavior rather than exploring a large codebase.4 2

Its weakness, in your terms, is that it can stall when a task needs several diagnosis-and-fix cycles, because the workflow still depends on frequent user feedback and context handoffs. Even with its task-management features, the agent still benefits from well-structured boundaries and clean breakpoints.5 6 2

Where Claude Code helps

Claude Code is built as an agentic terminal tool that can read files, run commands, search code, and make iterative changes with more autonomy. Anthropic also emphasizes features like subagents, permissions, hooks, and sessions, which are exactly the kinds of mechanisms that reduce the “please fix the test harness again” loop.7 3

That makes it a better fit when you want to hand off a discrete engineering problem like “stabilize this failing test workflow,” “trace this bug across the repo,” or “refactor this module and validate it”. In other words, Claude Code is more suited to tasks where the agent should keep pushing until it converges instead of waiting for you to micromanage every turn.3 7

Where OpenCode fits

OpenCode is similar in spirit to Claude Code in that it is an open-source terminal-first coding agent, but it is broader in deployment surfaces: terminal, desktop, and IDE extension. It also supports creating an AGENTS.md file to capture project guidance, which is useful when you want a reusable project memory that helps the agent behave consistently across sessions.8 1

For your use case, OpenCode is attractive because it can become the “project-level operator” while Cline remains the editor-native assistant. If you prefer local or self-hosted models, OpenCodes model flexibility may be a better cultural fit than Claude Codes Anthropic-centered workflow.1 8 3

A practical split

A good division of labor would be:

  • Use Cline for targeted edits, quick ideation, and interactive refinement inside VSCodium.2 4
  • Use Claude Code for deeper debugging sessions, multi-file refactors, and “keep going until the problem is solved” tasks in a terminal.7 3
  • Use OpenCode when you want a similar autonomous agent but with an open-source stack and a project-memory file you can commit.8 1

That setup matches your pain point well: Cline handles the human-guided side, while the terminal agent absorbs the repetitive iteration you dont want to spend your time on.3 1

Local models and hardware

Since you prefer Ollama and run a 4090, your best leverage is probably to give Cline and OpenCode strong local coder models for fast, cheap iteration, while reserving bigger or cloud models for harder reasoning. Clines docs explicitly support local runtimes like Ollama and recommend compact prompts plus large context windows when possible.9 10

The important constraint is not just model size, but context efficiency and how much prompt overhead the tool itself adds. For larger projects, a tool that can manage context more cleanly and save project guidance in files like CLAUDE.md or AGENTS.md can reduce the repeated explanation burden youre feeling.11 6 9 1

What Id do in your shoes

Id keep Cline for day-to-day editing, but add a terminal agent for “hard mode” work where Cline starts looping. I would start with OpenCode if you want to stay model-flexible and self-hosted, and Claude Code if you want the strongest autonomous behavior and are willing to lean into Anthropics ecosystem.2 1 3

For your exact workflow, the highest-value change is probably to stop asking Cline to do long debugging chains by itself and instead hand those chains off to a terminal agent once the task becomes iterative.2 3 12 13 14 15 16 17 18 19 20


It sounds like I can still use CLINE as the orchestrator, given it's strengths, and may be able to instruct it to use OpenCode in the terminal like a tool or subagent. CLINE supports guidance via rules, workflows, hooks and skills. What is the best way to make CLINE aware of an use OpenCode in the workflow - with each focusing on their strengths but working well together?

Yes — the best pattern is to make Cline the planner/orchestrator and OpenCode the execution specialist for the parts where Cline tends to thrash. Clines own customization stack supports this kind of division well: rules for always-on guidance, workflows for repeatable multi-step tasks, skills for on-demand expertise, and hooks for enforcement or context injection.21 22 23

Best division of labor

Use Cline to decide what should happen, then hand off selected subtasks to OpenCode when the work needs longer autonomous iteration. Cline is strongest when it is steering, approving, and integrating changes inside the IDE, while OpenCode is better suited to terminal-driven loops like “inspect, edit, test, fix, repeat”.23 24 25

In practice, that means Cline should manage the task boundary and OpenCode should own the “hard loop” tasks: failing tests, refactors, bug hunts, and multi-file repair cycles.22 24

Make the handoff explicit

The most effective setup is to create a Cline workflow that includes a clear OpenCode handoff step. Cline workflows are markdown files with numbered steps, and they can be high-level or precise, so you can instruct Cline to open a terminal, run OpenCode against a specific subtask, then return only the results and changed files.21

A good workflow shape is:

  1. Cline gathers scope and acceptance criteria.
  2. Cline writes or updates an AGENTS.md/project instruction file for OpenCode.
  3. Cline launches OpenCode on one discrete problem.
  4. OpenCode iterates until tests or checks pass.
  5. Cline reviews the diff and integrates it.26 27 21

Use shared project memory

To make both agents align, keep one shared project instruction file that both can read. AGENTS.md is meant to hold the project conventions, build/test steps, and operational guidance that coding agents need, and it is explicitly designed as a predictable context source for agents.26

That file should contain the stable stuff: architecture notes, testing commands, naming conventions, “do not touch” areas, and what “done” means. Then Cline-specific rules can stay in .clinerules/ and OpenCode-specific behavior can key off the same AGENTS.md, which reduces duplicated instructions and drift.23 26

Put guardrails in hooks

Use Cline hooks to enforce the handoff rather than relying on memory. Hooks run at known moments in the workflow and can inject context, validate operations, and shape decisions before and after tool use.28 22

For your use case, a hook can do things like:

  • Detect when the task is becoming test-heavy or repetitive.
  • Suggest or require an OpenCode handoff for multi-iteration debugging.
  • Insert the latest AGENTS.md or task brief into the prompt context.
  • Block low-quality loops like repeated “fix test, rerun, fail, tweak” cycles without a new plan.28 22

A practical workflow

A strong default workflow for you would be:

  • Cline defines the task and acceptance criteria.
  • Cline writes a short handoff brief in the repo, such as task-open-code.md.
  • OpenCode is launched from the terminal with that brief and the repo open.
  • OpenCode runs until either the tests pass or it reaches a clear blocker.
  • Cline ingests the output, reviews the diff, and handles product-level decisions.24 21 26

This is especially useful for your pain point because it separates “agent figuring out the broken harness” from “you shaping the product.” OpenCode can absorb the messy iteration, while Cline stays in the role of editor-native coordinator.22 23

What to automate first

Start with the smallest automation that gives the biggest payoff:

  • A shared AGENTS.md for project rules and test commands.26
  • A Cline workflow for “delegate to terminal agent”.21
  • A hook that nudges you toward OpenCode when the task has repeated failures or lots of test churn.22
  • A single terminal command or script that opens OpenCode with the right repo and brief.25 24

That gives you a clean split: Cline handles context and approval, OpenCode handles iterative execution, and both read the same project guidance.23 26 29 30 31 32


  1. https://open-code.ai/en/docs ↩︎

  2. https://docs.cline.bot/tools-reference/all-cline-tools ↩︎

  3. https://code.claude.com/docs/en/overview ↩︎

  4. https://www.datacamp.com/tutorial/cline-ai ↩︎

  5. https://github.com/cline/cline/issues/1055 ↩︎

  6. https://docs.cline.bot/model-config/context-windows ↩︎

  7. https://code.claude.com/docs/en/agent-sdk/overview ↩︎

  8. https://opencode.ai/docs/ ↩︎

  9. https://docs.cline.bot/running-models-locally/overview ↩︎

  10. https://notes.kodekloud.com/docs/Cline/Introduction-to-Cline/Demo-Connecting-to-Local-LLMs/page ↩︎

  11. https://www.eesel.ai/blog/claude-code-overview-docs ↩︎

  12. https://www.makerpad.co/compare/claude-code-vs-cline ↩︎

  13. https://www.augmentcode.com/tools/google-antigravity-vs-cline ↩︎

  14. https://emergent.sh/learn/claude-vs-cline ↩︎

  15. https://emergent.sh/learn/cline-vs-cursor ↩︎

  16. https://www.squid-club.com/blog/reverse-engineering-cline-vs-claude-code-a-technical-deep-dive-into-ai-coding-agent-architectures ↩︎

  17. https://cline.bot/blog/unlocking-persistent-memory-how-clines-new_task-tool-eliminates-context-window-limitations ↩︎

  18. https://docs.z.ai/devpack/tool/opencode ↩︎

  19. https://tool.lu/ru_RU/article/74s/preview ↩︎

  20. https://code.claude.com/docs/en/agent-sdk/quickstart ↩︎

  21. https://docs.cline.bot/customization/workflows ↩︎

  22. https://docs.cline.bot/customization/hooks ↩︎

  23. https://docs.cline.bot/customization/overview ↩︎

  24. https://open-code.ai/en/docs ↩︎

  25. https://opencode.ai/docs/ ↩︎

  26. https://agents.md ↩︎

  27. https://github.com/anomalyco/opencode/blob/dev/AGENTS.md ↩︎

  28. https://cline.ghost.io/cline-v3-36-hooks/ ↩︎

  29. https://developers.openai.com/codex/guides/agents-md ↩︎

  30. https://docs.cline.bot/running-models-locally/ollama ↩︎

  31. https://docs.ollama.com/integrations/cline ↩︎

  32. https://docs.cline.bot/running-models-locally/overview ↩︎