The Engineering of AI Agents: Context, Harnessing, and Autonomy @infoq
The Engineering of AI Agents: Context, Harnessing, and Autonomy  @infoq
Uploaded May 2026 | Updated September 2026, 2 weeks ago
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As we move from simple autocompletion to autonomous AI agents, "vibe coding" isn't enough for enterprise-grade software.

Birgitta Böckeler (Thoughtworks) explores the shift from prompt engineering to "Harness Engineering"—the practice of building deterministic safety nets around non-deterministic models.

⏱️ Video Timestamps (For Navigation)
0:00 – The Evolution: From Autocomplete to Agents
2:15 – What is Context Engineering? (Rules, MCP, and Skills)
5:30 – Modularizing Context with Anthropic Skills
8:45 – The Cost Reality: $380/day per Developer?
11:20 – Subagents and Research Workflows
14:05 – The "Lethal Trifecta" of AI Security Risks
17:50 – Harness Engineering: Building Deterministic Safety Nets
21:10 – Maintaining Quality: Structural Tests as Feedback Loops
24:40 – The "Goldilocks Speed": How much velocity do we actually need?
28:15 – Final Thoughts: Scaling AI Autonomy Safely

đź”— Transcript available on InfoQ: bit.ly/4we3odZ

#SoftwareArchitecture #AIAgents #GenerativeAI #SoftwareEngineering #ClaudeCode #GitHubCopilot #ContextEngineering
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The Engineering of AI Agents: Context, Harnessing, and Autonomy

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