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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
Mar 27, 2025
Concise Chain-of-Thought (CCoT) prompting
Learn how Concise Chain-of-Thought (CCoT) prompting reduces LLM response verbosity and token costs while maintaining high accuracy in reasoning tasks.
Cobus Greyling
Cobus Greyling
Generative AI
Mar 24, 2025
Understanding LLM user experience & expectation
This study surfaces valuable insights into the frequency of LLM use together with user intents, expectations and experience.
Cobus Greyling
Cobus Greyling
Generative AI
Mar 17, 2025
Meta taxonomy of LLM correction & refinement
Explore a meta taxonomy of LLM correction and refinement techniques to improve response quality, reduce errors, and enhance model reliability.
Cobus Greyling
Cobus Greyling
Generative AI
Mar 14, 2025
Considering large language model reasoning step length
When using Chain of Thought, what is the optimal number of steps to use?
Cobus Greyling
Cobus Greyling
Generative AI
Mar 12, 2025
Chain Of Natural Language Inference (CoNLI)
Hallucination is categorised into subcategories of Context-Free Hallucination, Ungrounded Hallucination & Self-Conflicting Hallucination.
Cobus Greyling
Cobus Greyling
Agentic AI
Mar 6, 2025
Autonomous AI agents: The future of workplace
Autonomous AI agents streamline workflows, enhance productivity, and empower employees to focus on high-value work while businesses scale with AI for Work.
Akhil Ganji
Akhil Ganji

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