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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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AI engineering
Jun 16, 2024
Active prompting with chain-of-thought for large language models
Learn how Active Prompting with Chain-of-Thought optimizes LLMs using uncertainty estimation and human annotation to improve reasoning accuracy and reliability.
Cobus Greyling
Cobus Greyling
Generative AI
Jun 14, 2024
Teaching LLMs To say, “I don’t know”
Learn how teaching LLMs to say “I don’t know” improves trust and accuracy by reducing incorrect or misleading AI responses.
Cobus Greyling
Cobus Greyling
Generative AI
Jun 12, 2024
Improving text embeddings with LLM generated synthetic data
Improve text embeddings using LLM-generated synthetic data to enhance semantic accuracy, retrieval performance, and downstream AI tasks.
Cobus Greyling
Cobus Greyling
Generative AI
Jun 10, 2024
LLM performance over time & LLM task contamination
LLM performance over time & task contamination
Cobus Greyling
Cobus Greyling
Generative AI
Jun 6, 2024
Data design for fine-tuning LLM long context windows
Data Design For Fine-Tuning LLM Long Context Windows Fine-Tune your LLM To fully utilise the available context window.
Cobus Greyling
Cobus Greyling
Agentic AI
Jun 4, 2024
Five levels of AI agents
Not all AI agents are created equal. Explore the five developmental levels from simple task execution to fully autonomous enterprise agents and where your organization sits on the maturity curve.
Cobus Greyling
Cobus Greyling

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