AI agents
Agentic Mesh with Eric Broda
AI agents are evolving from individual productivity tools into distributed systems components inside enterprises. The next frontier is coming into focus, and it involves large-scale
Organizational Context for AI Coding Agents with Dennis Pilarinos
AI agents have taken on a growing share of software development work, so much so that the hardest problems are shifting away from code generation towards something new, context. The
Turning Agent Autonomy into Productivity with Chris Weichel
A common challenge in software development is creating and maintaining robust development environments. The rise of AI agents has amplified this complexity by adding new demands around
Redis and AI Agent Memory with Andrew Brookins
A key challenge with designing AI agents is that large language models are stateless and have limited context windows. This requires careful engineering to maintain continuity and
Knowledge Graphs as Agentic Memory with Daniel Chalef
Contextual memory in AI is a major challenge because current models struggle to retain and recall relevant information over time. While humans can build long-term semantic relationships,








