White paper
Application Context Engineering: why it's a must have for coding agents
Why coding agents guess, and how an application context layer gives them the map they need at every stage of the SDLC.
By Giri Padmanabh, Founder and CTO, AppFaktors
What's inside
- The context gap, and why systems record what happened but not why
- What the context layer is and isn't, and what feeds it
- The application context graph and its four critical components
- Where it lives in your AI SDLC architecture, and how to build it
- The business impact, with the ExpenseFlow benchmark
Written for people who have watched an agent write code that compiles but doesn't fit.
- CTOs and VPs of Engineering
- Engineering and delivery leaders
- Architects and staff engineers
- Developers and builders working with coding agents
- Platform and developer experience teams
“Every team now has access to the same models, so the models can't be what sets you apart. What makes an agent useful on your application is the context you give it, and like your product and your culture, that context deserves to be governed and managed as an asset.”
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