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AI Engineering

Practical guides for shipping LLM features, RAG pipelines, and AI agents in production Django applications.

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AI Engineering 11 min read

Harness Engineering for Django Teams

Production-safe patterns for AI agents on Django - guardrails, observability, and release discipline.

SparkScribe Engineering Team · Lead Django Engineer

How SparkScribe builds harness engineering around Django AI agents: tool boundaries, prompt versioning, output validation, and observabilit…

  • Django
  • Python
  • Celery
  • PostgreSQL
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AI Engineering 12 min read

RAG in Production

Retrieval lessons from consumer AI - chunking, freshness, and metrics that actually matter.

Priya Mehta · Principal Engineer

Production RAG lessons from Django consumer AI work including AstroSure: retrieval quality, access control, caching, and operating search a…

  • Django
  • Python
  • OpenAI
  • PostgreSQL
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AI Engineering 10 min read

Adding AI Without a Rewrite

Integrate LLM features into your existing Django app - phased, bounded, production-safe.

SparkScribe Engineering Team · Principal Engineer

How to add AI to existing web applications without a rewrite: audit use cases, Django service boundaries, phased rollout, and permission-aw…

  • Django
  • Python
  • OpenAI
  • Celery
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