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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 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
Generative AI
Oct 30, 2024
Large language models excel at In-Context Learning (ICL)
Learn how Large Language Models (LLMs) excel at In-Context Learning (ICL) to improve accuracy, reduce hallucinations, and enhance RAG-based AI applications.
Cobus Greyling
Cobus Greyling
Agentic AI
Oct 28, 2024
AI decision making : Future, examples & impact
Discover how AI decisioning is revolutionizing industries from healthcare to logistics with data-driven insights and automated decision-making processes.
Team Kore.ai
Team Kore.ai
Generative AI
Oct 27, 2024
DRAGIN: Dynamic RAG based on real-time information needs of LLMs
Learn about DRAGIN, a lightweight framework for dynamic RAG that enables LLMs to retrieve information based on real-time needs without further training.
Cobus Greyling
Cobus Greyling

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