Systems | Development | Analytics | API | Testing

How Enterprise Teams Are Keeping Up With AI-Generated Code at Scale | Perforce 2026

Jun 24, 2026 By Perforce In Perforce
When AI Starts Shipping Code: Managing the Collision Between Human and AI-Generated Code AI agents don't wait for reviews. They generate code overnight, work across the same codebase in parallel, and produce more changes than any human team can realistically process — creating a new kind of bottleneck we call the Merge Wall. In this session, Perforce engineering leaders break down what happens when human and AI-generated code collide at scale — and how leading teams are building the visibility, governance, and coordination layers required to keep up.
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kong

Moving from Probabilistic Reasoning to Deterministic Execution

Jun 24, 2026 By Hugo Guerrero In Kong
Generative AI systems do not fail because models are weak. They fail because architectures are incomplete. Once organizations accept that prompts cannot guarantee reliability, a new challenge emerges: how to design systems that systematically convert successful AI behavior into repeatable, governable, and auditable workflows.
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ably

Agentic apps that go beyond chat

Jun 24, 2026 By Andrii Bulat In Ably
You are planning a trip with an AI assistant on your laptop. You are chatting with the agent, and as you progress it is dropping pins on a map, building a day-by-day itinerary, adding up a budget, and streaming its reasoning as it goes. The state of your interactive session is a combination of the chat history, the synthetic UI constructed by the agent during that process, and structured state, the itinerary, arising from the decisions you each make.
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ably

Introducing AI Transport v0.3.0

Jun 23, 2026 By Owen Pearson In Ably
Last week we introduced AI Transport v0.2.0 and made one idea the centre of the design: the session is the channel. Every input, output, and lifecycle event for an AI conversation is just a message published to an Ably channel, which is what makes a session durable, multi-party, and resumable. In v0.3.0, we added first-class support for presence and LiveObjects to AI sessions, allowing you and your agent to see who's online and update shared state in real time.
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tricentis

From testing to trust: Why quality engineering is becoming the control plane for AI driven enterprises

Jun 23, 2026 By Swarangi Pandey In Tricentis
Enterprises are under pressure to deliver software faster without sacrificing trust. AI generated code, continuous delivery, and increasingly agentic systems are accelerating change faster than traditional quality practices can validate it. For enterprises running multi-layered tech stacks, weekslong regression cycles and performance issues that are discovered by customers in production are symptoms of a behind-the-scenes quality model that was built for a slower era.
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Agentic Data Engineering: Self-Healing Pipelines for Real-Time Insight

Jun 22, 2026 By Cloudera, Inc. In Cloudera
Brittle pipelines and SLA firefighting hold data teams back. Agentic data engineering introduces autonomous AI agents that detect failures, fix code, and re-run pipelines—with humans in the loop guide critical decisions. This video explains how Cloudera Data Engineering and Cloudera AI enable self-healing pipelines.
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Snowflake CoCo: Welcome to the Agentic Enterprise

Jun 22, 2026 By Snowflake Inc. In Snowflake
When business questions move faster than answers, teams need more than dashboards. They need AI agents that can break silos, add context, and turn trusted enterprise data into action. Meet Snowflake CoCo — built to help data teams and business users move from reactive reporting to strategic action. In the Agentic Enterprise, everyone can become a strategic force, shaping what the business does next.
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