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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
May 20, 2025
LLMs training SLMs
A recent paper from Microsoft Research shows how they used LLMs to train SLMs without any RLHF…
Cobus Greyling
Cobus Greyling
Generative AI
May 15, 2025
Large impact: The rise of small language models
Discover how Small Language Models (SLMs) are disrupting the AI ecosystem by offering cost-effective, private, and efficient alternatives to Large Language Models.
Cobus Greyling
Cobus Greyling
Enterprise search
May 12, 2025
RAG, data privacy, attack methods & safe-prompts
Understand the privacy risks in RAG systems, how data can be attacked, and how to build safe prompts and defenses against sensitive-data leakage.
Cobus Greyling
Cobus Greyling
Enterprise search
May 9, 2025
MultiHop-RAG
A recent direction in RAG architecture is establishing wider context via a process of orchestration and chains over multiple documents.
Cobus Greyling
Cobus Greyling
Generative AI
May 7, 2025
Time-Aware Adaptive RAG (TA-ARE)
Explore how Time-Aware Adaptive Retrieval (TA-ARE) enhances Retrieval-Augmented Generation (RAG) by enabling LLMs to decide
Cobus Greyling
Cobus Greyling
Generative AI
Apr 23, 2025
Proxy Fine-Tuning LLMs
Proxy Fine-Tuning LLMs. Proxy fine-tuning achieves the results of directly tuning a LLM, but by accessing only its prediction…
Cobus Greyling
Cobus Greyling

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