Build a Small AI Coding Stack Before Adding More Agents
The quick answer
I'd start with one editor, one assistant and a way to run the project and its tests. Add tools when you can point to a job that setup can't handle.
Build your budget shortlistIn this guide
I'd start with one editor, one assistant and a way to run the project and its tests. Add tools when you can point to a job that setup can't handle. Otherwise, you'll spend more time moving context between apps than using them to build anything.
When you have a specific gap to fill, use the Coding Plans directory to compare the relevant tools and subscriptions instead of adding another service by default.
Planning, design, coding and review still need to happen, but they don't each need a separate subscription. The useful question is what you need to hand from one stage to the next. A short brief and a clear acceptance check often do more for the workflow than another agent.
Give every stage a concrete output
Tool lists usually begin with brand names. Begin instead with the artifact you need at the next stage.
| Stage | Minimum useful output | What makes it ready to hand off |
|---|---|---|
| Define | A short task brief | User, problem, constraints, acceptance checks |
| Design | A sketch or existing example | Important states and content are identified |
| Implement | A focused diff | Changes are understandable and runnable |
| Verify | Test and review evidence | Checks correspond to the actual behavior |
| Release | A reviewed deployment decision | Destination and rollback are known |
One editor and one assistant can support several of these stages. You do not need a different service for each row. The point is to prevent a polished mockup from being mistaken for a finished feature or a passing build from being mistaken for a working user journey.
Start with one small feature
Imagine you are adding a search box to an existing directory. Your brief should state what can be searched, how empty results look, and whether the URL must preserve the query. The design needs loading, empty and error states. The implementation needs to follow the existing data path. Verification should include keyboard use and a real search with no matches.
Run that loop with your current tools. Record where you spend time. If copying file context is the problem, investigate repository integration. If reviewing a large diff is the problem, improve task boundaries before buying more generation capacity. If the design keeps changing, settle the required states before asking another model to rewrite the component.
This gives you a reason for each addition to the stack and a way to tell whether it helped.
Separate the software from its model access
For every assistant, write down the client, the model provider, the authentication method and the bill. This can fit in one line: “editor extension, provider API, personal key, metered account.” Do not write “free” until you know which part is free and where the limit lives.
The Z.ai integration guide, for example, documents multiple client protocols and specific endpoints. That illustrates why an interface is not the same thing as an entitlement. Compatibility alone does not establish that every use of an endpoint is covered by a subscription.
The OpenRouter FAQ likewise describes a separate credit and inference billing system. When connecting a client to it, verify that client's chosen route and fallback behavior. A free client can still initiate a paid request.
Add a second agent with a narrow job
If you add a reviewer, give it the task brief, the diff and the relevant tests. Ask for concrete problems with file references. Do not ask it to praise the implementation or regenerate the entire feature independently.
A sensible first review assignment is: “Check whether clearing the query restores all results, and whether the selected item remains valid after filtering.” This is specific enough that you can assess the review. “Audit everything” often creates a long report whose relationship to the change is unclear.
Keep one owner for the final edit. Two agents changing the same files at the same time introduce coordination work. Parallel work can help when tasks are independent, but it should follow a clear ownership plan instead of being the default shape of a small project.
Pass on the decisions that matter
Pass the decision and relevant evidence between stages, not every conversation. A design handoff might contain the chosen layout, two screenshots, and three behavior rules. An implementation handoff might contain the starting commit, changed files and test commands.
Keep credentials and private datasets out of these artifacts. When a sample is needed, construct a small representative example. Check provider data policies before sending proprietary material; do not assume every tool in the stack inherits the editor's privacy setting.
Decide what to remove
After a few real tasks, remove anything that duplicates another tool without saving time or improving the result. Keep the project notes, version history and tests. Those make it possible to change assistants later without rebuilding the way you work.