https://www.infoq.com InfoQ Productivity Presentations feed https://www.infoq.com/presentations/building-internal-ai-agents/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Productivity-presentations <img src="https://res.infoq.com/presentations/building-internal-ai-agents/en/mediumimage/medium-1790246283432.jpeg"/><p>Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combining no-code and code-based platforms, sidestepping complex RAG setups, and aligning security and legal teams to accelerate internal agent adoption across R&D.</p> <i>By Ben Maraney</i> Large language models Agents Compliance Transcripts AI Security Governance Productivity QCon AI Boston 2026 Model Context Protocol (MCP) AI, ML & Data Engineering Development Architecture & Design presentation Mon, 28 Sep 2026 11:00:00 GMT https://www.infoq.com/presentations/building-internal-ai-agents/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Productivity-presentations Ben Maraney 2026-09-28T11:00:00Z /presentations/building-internal-ai-agents/en https://www.infoq.com/presentations/linkedin-context-engineering/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Productivity-presentations <img src="https://res.infoq.com/presentations/linkedin-context-engineering/en/mediumimage/ajay-prakash-medium-1789021803159.jpg"/><p>Ajay Prakash discusses how LinkedIn overcomes AI agent limitations in large codebases. He explains Contextual Agent Playbooks and Tools - built on Model Context Protocol (MCP) - which serves procedural memory, code search, and runbooks directly to coding agents. Prakash shares architectural details and operational guardrails that deliver a 20% productivity boost with zero loss in reliability.</p> <i>By Ajay Prakash</i> Agents LinkedIn Transcripts Productivity QCon AI Boston 2026 AI Architecture Model Context Protocol (MCP) AI, ML & Data Engineering Development Architecture & Design presentation Sat, 19 Sep 2026 11:00:00 GMT https://www.infoq.com/presentations/linkedin-context-engineering/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Productivity-presentations Ajay Prakash 2026-09-19T11:00:00Z /presentations/linkedin-context-engineering/en https://www.infoq.com/presentations/ai-software-engineering-complexity/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Productivity-presentations <img src="https://res.infoq.com/presentations/ai-software-engineering-complexity/en/mediumimage/philip-mortimer-medium-1789021228203.jpeg"/><p>Phillip Mortimer discusses the shift toward write-only software driven by AI code generation. He explains why traditional pull requests are broken and shares how engineering leaders can manage complexity by decoupling intent from implementation, automating code reviews, and building self-healing architecture to unleash developer creativity across senior engineering and architecture teams.</p> <i>By Phillip Mortimer</i> Testing QCon London 2026 Management AI Assisted Coding Transcripts Code Quality Productivity Leadership Architecture Culture & Methods Development Architecture & Design presentation Fri, 18 Sep 2026 11:00:00 GMT https://www.infoq.com/presentations/ai-software-engineering-complexity/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Productivity-presentations Phillip Mortimer 2026-09-18T11:00:00Z /presentations/ai-software-engineering-complexity/en