A product discussed on AI Engineer.

A Genius With Amnesia - Victor Savkin, Nx
Jun 26, 2026 · 20:00
Victor Savkin, creator of Nx and Polygraph, argues that current coding agents are like a genius with amnesia – they see only a tiny portion of the codebase and forget everything between sessions – and introduces Polygraph, a meta-harness that gives agents full organizational context and perfect memory. He explains that agents are repo-bound and lack episodic memory, forcing humans to re-explain changes (e.g., seven explanations for one UI change across four repos). Polygraph builds a unified dependency graph by analyzing thousands of repos without code changes, lets agents work across multiple repos in a single session, and captures all traces so sessions can be resumed by any agent (Claude or Codex) on any machine. It also enables context-aware queries like 'find every repo that depends on version X of this library' and allows referencing past sessions for best practices. The result is an agent that sees the entire organization's code and remembers every decision, effectively creating a hive mind.

Agentic Engineering: Working With AI, Not Just Using It — Brendan O'Leary
Apr 7, 2026 · 27:03
Brendan O'Leary, a Developer Relations Engineer at Kilo Code, argues that agentic engineering means shifting from using AI as a tool to working with it as a collaborator—like an energetic but inexperienced junior developer. He explains that context engineering—managing what goes into the model's context window—is critical, as too much or bad context degrades output quality. O'Leary recommends a research-plan-implement loop: first understand the system without writing code, then create a detailed plan, and finally execute in a fresh session to keep context lean. He advocates for configuring agents with role-based modes (Ask, Architect, Code), along with agents.md and skills files for persistent rules and reusable workflows. O'Leary also cautions against overusing MCP servers, which add token cost and can confuse the agent, and suggests isolating agent work via Git for easy review. The episode emphasizes that AI cannot replace thinking—it only amplifies the human's preparation and judgment.

Real World Development with GitHub Copilot and VS Code — Harald Kirschner, Christopher Harrison
Aug 3, 2025 · 1:19:33
Harald Kirschner demonstrates three stages of Vibe Coding with GitHub Copilot and VS Code—YOLO, Structured, and Spectrum—arguing that developers can move from rapid prototyping to maintainable, scalable AI-assisted development. He shows how to use Agent mode, auto-approve settings, and new workspace scaffolding to build a hydration tracking app with React Vite and Material Design without looking at code. The talk covers custom instructions, MCP servers (Playwright, Jest Pad, Perplexity), and custom modes like TDD that enforce test-driven development by writing failing tests first. Kirschner explains how to constrain tools for deterministic behavior using tool sets and recommends committing often, pausing AI when needed, and iterating on instructions. He also discusses spec-driven development, critiquing specs with AI, and the importance of well-structured codebases for AI productivity.

[Full Workshop] Vibe Coding at Scale: Customizing AI Assistants for Enterprise Environments
Jun 27, 2025 · 1:20:38
Harold from the VS Code team demonstrates "Vibe Coding at Scale" at the AI Engineer World's Fair, presenting three stages—YOLO, structured, and spectrum vibes—for customizing AI assistants in enterprise environments. He live-codes a hydration tracking app using GitHub Copilot's agent mode, auto-approve, and new workspace scaffolding, then shows how to enforce design principles via Copilot instructions and reusable prompts. Harold introduces custom modes (e.g., TDD mode), tool sets, and MCP servers like Playwright and Perplexity for research and browser testing. He emphasizes iterating on instructions, committing often, and using spec-driven development to balance speed with reliability, arguing these techniques enable true flow-state collaboration even on complex codebases.
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