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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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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
Generative AI
Apr 17, 2025
Demonstrate, search, predict (DSP) for LLMs
This study which is just over a year old from Stanford, makes for interesting reading and illustrates how far we have come over as short period of time.
Cobus Greyling
Cobus Greyling
Apr 16, 2025
Disrupting the ordinary: process automation's new era
Rule-based automation has a ceiling. Agentic AI breaks through it, adapting to exceptions, learning from outcomes, and orchestrating workflows across enterprise systems. See how Kore.ai's AI for Process leads this shift.
Nathan Schlaffer
Nathan Schlaffer

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