Agentic AI
TrialTechniques
An approach where AI agents plan and execute multi-step tasks with tool use and workflow control.
Why it's here
Placed in Trial: 11 article(s) of evidence from 6 source(s), led by research-stage coverage, with 7 in the last 30 days. Confidence 89%.
Evidence (11)
- 6OpenAI Blog·8/12/2026researchOpenAI on how enterprises are moving from AI assistance to execution
OpenAI says enterprises are increasingly adopting agentic AI to move beyond assistance and toward execution. The post highlights usage of ChatGPT and Codex, and argues that leading firms are gaining an adoption advantage ahead of others.
- 7The New Stack·8/9/2026researchAI speeds up coding, but engineering output stays flat
DX’s State of AI Impact in Engineering report says AI tooling has made individual developers faster, but organizational velocity has not improved in step. The report points to growing coordination overhead, flat innovation ratios, and weaker change confidence, especially in larger companies and larger pull requests.
- 4InfoQ·8/7/2026framework_updateRootly Ends Small PR Rule as AI Agent Code Generation Grows
Rootly says its long-standing rule favoring small pull requests is no longer effective because AI agents now generate most of its code. The company is shifting review criteria toward blast radius, using feature flags and rollback readiness to judge risk instead of line count.
- 6InfoQ·7/27/2026framework_updateAI Gateways as an Evolutionary Architecture Pattern
The article argues that traditional API gateways are insufficient for agentic AI systems because they assume deterministic behavior and simple schemas. It proposes AI Gateways as a control-plane seam to centralize guardrails, model routing, agent identity, action policy, and semantic audit while keeping core platforms stable.
- 7NVIDIA GenAI·7/24/2026researchNVIDIA and KAIST Launch Joint AI Research Lab in Seoul
At the AI Summit in San Francisco, NVIDIA and KAIST announced a joint AI research lab at KAIST’s Kim Jaechul Graduate School of AI in Seoul. The lab will focus on agentic AI and combine NVIDIA’s full-stack AI stack, Nemotron open models, and partner cloud computing with KAIST’s research expertise.
- 7Hacker News·7/23/2026securityTheNumbers.com Disappears After Bot Traffic Surge
The Numbers, a long-running film data site, went offline in March 2026 and later returned in reduced form after losing features such as historical charts, movie pages, and its report builder. The site’s founder said the service was stressed by rapidly growing crawler traffic, including AI training bots and agentic scraping, highlighting how fragile widely relied-on websites can be.
- 5OpenAI Blog·7/14/2026framework_updateManaging AI investment in the agentic era
OpenAI says enterprises should evaluate AI investments by measuring useful work per dollar, rather than focusing only on model costs. The guidance emphasizes improving efficiency and scaling workflows that deliver the highest business value in the agentic era.
- 6NVIDIA GenAI·7/6/2026framework_updateNVIDIA Outlines National AI Strategy for Countries
NVIDIA describes how countries are building domestic AI capabilities using local infrastructure, datasets and expertise to support national priorities such as economic growth, security, healthcare and cultural preservation. The piece highlights AI factories, local foundation models and public-private cloud partnerships as key components of a national AI strategy.
- 5The New Stack·7/4/2026researchCheaper Models Alone Won’t Fix AI Token Costs
The article argues that the main cost problem in agentic AI is not just model price, but excessive token consumption across agent workflows. It highlights three approaches to lower spend: compressing context, routing simpler tasks to cheaper models, and using semantic caching to avoid repeating similar reasoning.
- 4InfoQ·7/3/2026researchInfoQ eMag on Agentic AI Architecture
InfoQ has published an eMag focused on agentic AI architecture, presenting it as an emerging software architecture that could shape the industry for years. The issue gathers expert articles on key elements, trends, and developments as the approach moves toward mainstream adoption.
- 5Hugging Face Blog·6/1/2026researchIBM argues enterprise AI needs agent logic beyond LLMs
IBM discusses how enterprise AI adoption depends on agentic logic, not just large language models, to better fit long-running, policy-constrained workflows. The post describes agents for mainframe code understanding, test generation, incident response, and compliance modernization that use program analysis and structured retrieval to improve accuracy and reduce cost.