Developer Builds Self-Hosted Ticket System to Test Real-World AI Coding Agents

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A developer created Lutions, a self-hosted web application for project and ticket management, partly driven by rising software licence costs and concerns over digital sovereignty. The project grew beyond its original scope into a personal laboratory for testing agentic AI in a realistic, mature codebase rather than a simplified demo environment. The developer argues that useful AI coding agents require more than better prompts — they need access to a project's full context, conventions, history, and constraints. Drawing parallels to benchmarks like SWE-bench, the article highlights that real-world agentic development demands agents navigate multi-file changes, existing rules, and organisational expectations. The piece frames Lutions as a field study in what conditions must exist for AI agents to contribute meaningfully to established software projects.

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