Coding Agents at Scale: From Toy Demos to Production Code | Jakub Sobolewski | LLMday Warsaw 2026 Q1
Автор: LLMday
Загружено: 2026-03-03
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LLMday Warsaw 2026 Q1 - February 12
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Chapters
00:00 Intro: Yaku & what “coding with AI” means
00:56 Vibe Coding wins (hackathon apps) — until it hits production
02:02 Why agents break at scale: context rot + benchmark evidence
02:36 How agents “see” code today: grep, indexing, embeddings (and why it’s flawed)
03:58 The “horseless carriage” era of AI coding
04:57 Today’s coping strategies: AI code review tools + parallel agent workflows
07:21 From vibe coding to structured workflows… and back again
09:08 What’s next: structure-aware coding, Brockman chat, and prompt-aware git blame
11:27 Paradigm demo: call graphs, module maps, and flow diagrams for humans
13:15 Making agents safer: codebase improvement signals + structure-first context
14:10 Agent navigation options: more agents, LSPs, and why it’s still limited
15:29 Experiment: Claude repo exploration vs Paradigm MCP speedup
16:12 Wrap-up: early days, feedback request, and where to find Paradigm
17:12 Q&A: pricing, performance, TypeScript, and MCP availability
19:32 Q&A: code review in regulated industries + verification via tests
21:53 Q&A: standard architectures, clean architecture, and reducing discovery time
24:10 Q&A: how agents consume graphs vs embeddings (knowledge graph discussion)
29:22 Q&A: tracking motivation/intent (Jira/Notion) inside the code graph
30:36 Q&A: documentation best practices in the agent-coding era
32:58 Closing remarks
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