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Harnessing agentic coding toward autonomous engineering: What we’ve learned so far

A CTO's hard-won perspective on moving AI beyond code generation, building the guardrails, review loops, and text-driven control planes that make autonomous engineering safe, reviewable, and realy.

AI engineering
Apr 1, 2026

All Articles

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Generative AI
Nov 15, 2024
FaaF: Facts as a function for evaluating RAG
There has been instances where another Language Model is used to vet the RAG output, which fails to detect incorrect and incomplete generated data.
Cobus Greyling
Cobus Greyling
Generative AI
Nov 14, 2024
Disambiguation: Dynamic context for effective RAG question suggestions
Learn how dynamic context and disambiguation improve RAG question suggestions, boosting relevance, accuracy, and user experience in AI search.
Cobus Greyling
Cobus Greyling
Generative AI
Nov 11, 2024
FIT-RAG
Learn about the RAG approach how retrieval-augmented generation improves AI accuracy by combining external data with language model responses.
Cobus Greyling
Cobus Greyling
Generative AI
Nov 3, 2024
Challenges in adopting RAG solutions
Explore common challenges in adopting RAG solutions, including retrieval inaccuracies, data privacy risks, and seven potential failure points for AI systems.
Cobus Greyling
Cobus Greyling
Generative AI
Nov 1, 2024
Adaptive-RAG
It is evident that there needs to be a balance between query time, quality in terms of performance, but also efficiency.
Cobus Greyling
Cobus Greyling
Generative AI
Oct 30, 2024
Retrieval Augmented Fine-Tuning (RAFT)
Boost LLM performance with Retrieval-Augmented Fine-Tuning (RAFT).
Cobus Greyling
Cobus Greyling

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