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Agentic testing raises the bar for quality leadership. As AI agents enter test planning, scenario generation, script creation, execution, failure analysis, and self-healing, QA lea...
By Saman (Sam) Rahbar | Scientist & Engineer | May 2026Continue reading on Medium »
Agentic AI represents a qualitative shift in how software operates. Traditional software executes deterministic instructions. Generative AI responds to human prompts with output th...
Agentic testing tools help teams plan, generate, adapt, and run tests with far less manual effort. They’re quickly becoming part of how modern QA scales without slowing delivery....
Agentic AI holds as much promise as it does risk. Frontier models are becoming more and more powerful. In fact, on April 7, Anthropic published a 245-page system card for Claude My...
A language built for humans and the coding agents that help them
Setting boundaries (and establishing trust) is the ask with agentic projectsContinue reading on UX Collective »
I want to be honest with you upfront: I was skeptical. As a lead software engineer, I have seen enough tools arrive with big promises and leave with modest results. Most of them ma...
I was building an AI agent that reads log files, calls APIs, and runs tools based on user instructions. Standard stuff for anyone working with LLM-based automation today. I wrote P...
Agentic development is rapidly becoming one of the most talked-about paradigms in software development. The talk is not just of using AI to assist in coding but of using systems wh...
The Shift From RAG to Agentic AI For the past two years, the industry has been obsessed with Retrieval-Augmented Generation (RAG). While RAG solved the "hallucination" problem by...
Salesforce Agentforce agents are autonomous, non-deterministic, and increasingly mission critical. This blog walks enterprise IT leaders through the QA strategy, validation models,...
Increasingly, AI agents—in the operational sense, autonomous software designed to execute a range of tasks—can navigate interfaces, execute transactions, interact with customers, a...
Anthropic's recent "Project Deal" experiment demonstrated that AI agents could buy and sell in a narrowly focused marketplace. The post A Preview of Agentic Marketplaces appeared f...
Anthropic's recent "Project Deal" experiment demonstrated that AI agents could buy and sell in a narrowly focused marketplace. The post A Preview of Agentic Marketplaces appeared f...
Every B2B CEO we talk to right now has some version of the same question. “How do we become more agentic? What’s the first move? Do we need a Chief AI Officer? A forward-deployed e...
Agentic AI Is Coming to Banking - But Governance Is Not Ready Over the past two years, the banking s...
In the race to build autonomous AI agents—software that can book flights, negotiate contracts, execute financial transactions, or run entire workflows on behalf of humans—a quieter...
This paper compares agentic AI systems and human economists performing the same causal inference tasks. AI systems and humans generally obtain similar median causal effect estimate...
Quant’s David Stokes unpacks why the gap between agentic A.I. vendor promise and operational reality is widening, and why success increasingly depends on the data, governance and o...
Key Takeaways “Agentic OS” is not a product you install — it’s an architectural pattern that adds a management layer on top of AI agents so they can coordinate, share memory, and i...
<p>Last week I did something unusual. I published <a href="https://thectoadvisor.com/blog/2026/05/13/who-controls-the-loop-a-requirements-document-for-local-first-age...
Here is a list of what’s hot in agentic AI programming right now: setting goals for various levels of delegation. Breaking down work into tasks. Clear direction-giving. Clear feedb...
Agentic AI promises faster coding, but hidden risks in testing, security, and maintenance could derail projects unless developers rethink how they manage, validate, and supervise m...
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