How can I facilitate the best environment for agentic programming?
Reduce repeated exploration by turning prior searches, failures, and discoveries into context the next agent can retrieve.
Starting point
Yesod should always be ready to answer questions about the codebases under management. The “Yesod ask” system begins with vector search, while systems such as Neo4j Agent Memory and Hindsight suggest richer experiments.
What to track
- Which facts agents repeatedly search for.
- Which parts of a codebase take the longest to understand.
- Which dead ends recur across independent runs.
- How saved interactions and execution traces can reduce future exploration cost.
Living record
Memory-system experiments, retrieval evaluations, and improvements to agent context belong here.