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Agentic Engineering: Five Core Concepts AI Developers Need to Know

IBM breaks down prompt engineering, context management, agents, harnesses, and software factories shaping AI-assisted development.

Summarized from @IBMTechnology, . 25-second read.

IBM Technology released a video explainer on engineering, a shift beyond traditional coding toward AI-assisted software development. The video, hosted by Cedric Clyburn, covers five essential concepts: engineering for clear communication with models, context engineering for managing input windows efficiently, harness engineering for execution and verification, loop engineering for autonomous agent actions, and graph engineering for parallel agent coordination.

The material also introduces software factories—task-based agents that automate the full software development lifecycle. Throughout, the video emphasizes that domain expertise often matters more than model size, and that these concepts apply broadly to developers and AI builders, not just specialists.

Read the full story at @IBMTechnology

This is an AI-written summary. The original reporting belongs to @IBMTechnology. How we write these · Spot a mistake?

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