What Context a Coding Agent Actually Needs
Better repository context beats a longer task prompt
When an AI coding agent edits an existing application, it has to discover how the repository is organized, which conventions matter, and how to tell whether a change is complete. A longer chat prompt can clarify the request, but it cannot reliably replace project files, working examples, and commands the team can inspect.
Give the agent a small, current map of the codebase and a bounded task. Then review what it changed and run the same checks you would use for a teammate’s contribution.
Put durable guidance in the repository
Start with instructions that explain how to work in this project. Keep them short enough to maintain and specific enough to resolve real choices: where related files live, which commands validate a change, and which constraints must be preserved.
Use the instruction file your tool reads. For example, OpenCode reads AGENTS.md; the OTF OpenCode guide documents how that file and other tool-specific instruction files are used. Check your agent’s current documentation rather than assuming every tool reads the same filename.
Good repository guidance answers questions such as:
- Which directory owns this feature, route, or component?
- Is there a nearby implementation that should be extended?
- Which package manager and validation commands does this repository use?
- What must remain compatible, such as public props, API responses, or database fields?
- Which generated files, credentials, or unrelated areas must not be changed?
Avoid duplicating the whole README or recording details that quickly go stale. Link to maintained documentation when a longer explanation already exists.
12 production screens. Login and database wired.
The SaaS Dashboard Kit includes login, a database, and a working dashboard. Live demo at saas.otf-kit.dev.
Give the agent local examples to follow
A representative file often gives more useful evidence than an abstract rule. Before asking for a new screen, find a similar screen and point the agent to it. Before adding a test, show a nearby test. The example reveals the actual imports, naming, error handling, and composition used in this repository.
Check that the example is current and relevant. A legacy file or a superficially similar component can point the agent in the wrong direction. If no example fits, say so and ask the agent to explain the design it proposes before it edits several files.
Scope the request and define how to verify it
A useful task prompt describes the outcome, the boundaries, and the evidence that will show whether the work is done. For example:
Add an account-usage panel to the existing settings area.
Use the current settings panel as the layout reference.
Keep the existing route and public component props unchanged.
Do not add a new dependency.
Run the landing package type-check and the relevant tests.
Summarize changed files and any checks that could not run.Adapt those instructions to the repository. Do not ask the agent to invent a directory layout just because the prompt names a feature. Ask it to inspect the current structure first, then make the smallest change that fits.
A reviewable workflow is: inspect the relevant files, propose a short plan, edit within the agreed scope, run the checks, and report the diff. You still own the review. A passing type-check does not establish that the behavior is correct, secure, accessible, or visually right.
Keep context current
Out-of-date guidance is worse than a missing note because it can make a confident instruction wrong. When a command, architecture, or product convention changes, update the source file the team actually maintains. Keep examples close to the code they demonstrate, and remove obsolete guidance rather than appending another conflicting paragraph.
For recurring workflows, record the parts that should persist across sessions: repo-specific constraints, validation commands, and links to canonical docs. Put request-specific details in the prompt. Keep credentials and sensitive customer data out of instruction files and prompts.
What to check in a starter kit
If you are choosing a starter codebase, inspect its actual repository rather than relying on a marketing claim about AI readiness. Look for maintained agent instructions, examples that match the app’s structure, and scripts you can run to validate a change. Confirm that the stack and conventions fit the product you intend to build.
As checked on 15 October 2026, the OTF templates catalog lists SaaS Dashboard, Fitness, and Arcade as available kits. The OTF OpenCode guide says a selected kit’s repository includes AGENTS.md, CLAUDE.md, .cursorrules, and between 22 and 27 task prompts. Those files are starting context; they do not implement your feature or replace your own review. The guide also records a narrow check: on 13 October, the kit’s own type-check passed in a fresh install, and the test change added no type errors. That result applies to the documented check, not every kit, task, or runtime behavior.
If you want a codebase to inspect, see the SaaS Dashboard kit. Review its current files and run its documented checks before deciding whether it fits your project.
A practical context checklist
Before handing off a repository task, make sure the agent can find:
- The maintained project instructions and relevant architecture notes.
- One current implementation that is genuinely similar.
- The exact user-visible or system behavior you want changed.
- Constraints on dependencies, interfaces, and files to leave alone.
- The commands and manual checks that define an acceptable result.
- A concise report of what changed, what passed, and what remains uncertain.
That context helps the agent make a change that fits the project and gives you evidence to review. It does not guarantee a correct first attempt. Keep the task narrow, inspect the diff, and verify the behavior yourself.
Sources
- OTF templates catalog — availability checked 15 October 2026.
- OTF guide to OpenCode — checked 15 October 2026; includes the dated type-check note from 13 October 2026.
For a starter codebase you can inspect, browse the SaaS Dashboard kit. When you are ready to begin, start here.
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