Codebase Context
Give coding agents persistent codebase context.
Turn repository knowledge into context that survives beyond one prompt. FiboCode keeps specs, designs, plans, analysis, change explanations, code, docs, and graphs connected inside the project so the next agent task can begin with more than chat history.
Agents need project context, not just a larger prompt.
A coding agent can inspect files during a session, but the reasoning behind earlier decisions is easy to lose when it exists only in conversation. Repeating architecture, constraints, and previous changes consumes time and still leaves the agent to reconstruct relationships that the team already learned.
Context engineering makes that knowledge durable and selectable. FiboCode records project understanding in Markdown beside the code and connects it through paths and graphs. The agent receives concrete repository material that people can review, improve, and carry into the next change.
See project context grow with the code.
The product demonstrations show connected knowledge moving across views and evolving as the repository changes.
See durable project records accumulate around real work instead of disappearing at the end of an agent conversation.
Follow the links that let an agent or developer recover the evidence behind a piece of project context.
Create context an agent can reuse.
The goal is not to preserve every message. It is to preserve the project facts and decisions that future work depends on.
Identify the context boundary.
Start with the feature, module, decision, or failure the agent must understand. Select relevant files and symbols instead of treating the whole repository as one undifferentiated prompt.
Capture durable knowledge in Markdown.
Record specifications, designs, plans, analysis, and change explanations in a format that remains readable without the original chat session.
Connect knowledge to source and relationships.
Use paths, tags, and graphs to preserve where a claim comes from and how it relates to other modules or documents.
Bring the context into the next agent task.
Let the chosen Agent CLI read the relevant project material, then review and update those records as the implementation and understanding evolve.
Context that remains inspectable.
Repository-owned records.
Important context lives with the project in readable Markdown rather than depending on a single vendor session or private memory.
Traceable source connections.
Paths and tags keep explanations connected to the code they describe, giving people a way to verify an agent’s starting assumptions.
Multiple context views.
Code provides implementation truth, docs explain behavior and intent, and graphs expose relationships that prose alone can hide.
Evolution across changes.
Specs, designs, plans, diff records, and analysis docs preserve what changed and why, allowing later work to build on earlier understanding.
Use case: handing a feature to a new agent session.
A team has already mapped a subsystem, documented a constraint, and completed one related change. Instead of pasting an old conversation into a new session, the developer points the Agent CLI to the relevant analysis, design, and change record alongside the source files.
The agent starts from reviewed project material. As the new change progresses, the team can refine the same context, keeping the repository useful to the next developer or agent rather than creating another isolated explanation.
Context engineering is not prompt accumulation.
A long prompt can carry details into one request, but it does not automatically become maintainable project knowledge. FiboCode separates durable context from transient conversation and gives it visible connections to code, documents, and graphs.
The agent still reasons and edits through the Agent CLI you choose. FiboCode provides the shared, inspectable context around that workflow; Spec-Driven Development adds a structured path from a new requirement to planned execution.
Codebase context FAQ
What does persistent context mean here?
It means important project knowledge is recorded beside the code in reusable docs and connections, rather than existing only inside one temporary agent conversation.
Does FiboCode provide a new coding agent?
No. You keep the Agent CLI you already trust. FiboCode enriches its workspace context and connects the agent’s work back to editor-based understanding and review.
Why use Markdown for agent context?
Markdown is easy for people and agents to read and write, works well for specs and explanations, and remains inspectable as project material.
Can the context include diagrams and relationships?
Yes. Graphs and tags complement Markdown and code, making relationships navigable while preserving paths back to the underlying project material.
How should context change when the code changes?
Review the relevant records against the new implementation and update them as needed. The purpose is a living, traceable knowledge base, not a frozen summary.