The Future of Agentic Engineering | Cognition (Devin), Semgrep, Factory & Composio | $1.2B+ Raised

AI agents are everywhere right now. But are they actually working inside real engineering teams?At AngelList’s Founders Cafe, I sat down with founders of Cognition ($898M raised), Semgrep ($204M raised), Factory ($70M raised), and Composio ($29M raised) to talk about what agentic engineering looks like in practice.There’s a lot of hype around AI coding tools, but the reality is more nuanced. Some teams are moving 10x faster, others are slowing down. A big part of it comes down to whether your codebase is actually “agent-ready” (linting, type systems, guardrails, etc).We also went deep on security, which is one of the biggest gaps right now. As more non-developers start “vibe coding,” the risk surface grows fast. We talked about MCP access control, layered security, and why you can’t rely on models alone to generate secure code.Enterprise teams are also dealing with the operational side of this shift. They have to manage cost, run evals, and help thousands of engineers use these systems well. Tools like PR review agents, model routing, and internal orchestration are quickly becoming part of the stack.⏱ Chapters00:00 Welcome and setup00:41 Panel introductions02:00 Windsurf acquisition03:52 Do agents boost productivity?04:16 Agent-ready codebases05:55 Real-world enterprise wins07:28 Agents building integrations09:41 Security risks (vibe coding)11:04 LLM security tools landscape12:21 Defense-in-depth15:16 MCP security pitfalls18:41 MCP vs CLI23:08 RL for secure code27:05 Auto research missions27:57 Training your own models31:33 Distillation and IP decay34:50 Hybrid systems37:14 Side projects vs enterprise40:16 Forward deployed engineering40:58 Agent orchestration43:08 Cost controls43:49 Auto model routing45:52 Guardrails47:02 Legacy code risks48:16 Model poisoning49:35 What is a harness?51:47 Why build your own52:58 Continuous learning loops56:30 Security workflows57:37 Validation and meta engineering1:00:32 Running evals in practice1:03:36 Teams reshaped by agents1:12:17 Should you study CS?1:14:11 Enterprise adoption1:18:23 Local to cloud journey1:20:51 Agent economy and prompting1:22:22 Spec vs plan1:25:12 Closing and thanks