The AI Native Dev - from Copilot today to AI Native Software Development tomorrow Why Your Agent Needs Memory, Not Just Context
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Mar 3, 2026 Richmond Alake, Director of AI Developer Experience at Oracle, brings experience in developer advocacy and memory engineering. He argues agent failures stem from memory, not models. He compares file systems and databases for agent memory. He explains skills as SOPs and outlines the memory lifecycle, security trade offs, and how continuous learning will merge agent and training loops.
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Use Memory Framing To Align Technical And Nontechnical Teams
- Framing agent needs as memory (not just context) makes the problem intuitive and communicates better to nontechnical stakeholders.
- Richmond uses human memory analogies so product and business teams grasp forgetting, recall, and persona persistence.
Skills Are SOPs For Agents
- Agent skills are the equivalent of human SOPs and map to procedural memory for agents.
- Richmond explains skills are structured step‑by‑step procedures (locations of tools, scripts, and steps) stored so agents execute tasks consistently.
Provide Memory And Continuous Learning For Agents
- Give agents plentiful, relevant data and memory plus a robust system for continuous adaptation to make them successful.
- Richmond stresses feeding existing institutional memory and building pipelines so agents can evolve and learn from interactions.