Latest updates for Ai Code Generation

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Recent items include:

  • Thoughts on Developing With A(ccelerated) I(nference)
  • The DevOps Practice Most Teams Skip When Adopting AI Agents
  • The enterprise AI challenge nobody solves with code generation alone

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dzone.com /1 week ago

Thoughts on Developing With A(ccelerated) I(nference)

AI stands for artificial intelligence, yet I prefer the term Dr. Venkat Subramaniam used in one of his talks: Accelerated Inference. To my mind, it is far more accurate, so I have...

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devops.com /1 month ago

The DevOps Practice Most Teams Skip When Adopting AI Agents

Code generation got fast. The competitive advantage is now in the Second and Third Ways. If you don't have instruction files in your repo, start there. If you do, monitor how often...

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venturebeat.com /1 month ago

The enterprise AI challenge nobody solves with code generation alone

Presented by SAPGenerating code with AI is fast, but getting that code to run reliably inside a large enterprise, integrated with live systems, governed for compliance, and maintai...

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devops.com /4 days ago

Adronite Unveils AI Coding Tool Based on Embedded Context Engine

Adronite launches Codistry, an AI coding tool that uses a context engine to map codebases, reduce token usage and generate more production-ready code.

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designveloper.com /5 days ago

Generative AI, RAG, And Agentic AI: From Output To Action

Teams comparing rag vs generative ai vs agentic ai often face a category problem before they face a technology problem. The terms describe different parts of an AI system, so choos...

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programmers.io /4 weeks ago

6 New AI-Powered Features of Impact Analysis (iA)

Most IBM i shops are sitting on decades of business logic and institutional knowledge that nobody fully remembers writing. The original developers have retired or are about to. Doc...

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sdtimes.com /1 month ago

AI Coding is Fast, but the Rest of Your Delivery System is NOT

Most enterprises adopted generative AI by inserting it into the easiest possible place: coding itself. That approach makes sense operationally. AI-assisted coding tools integrate n...

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devops.com /1 month ago

AI-Generated Code Is Cheap But the Context Infrastructure Behind It Is Not

The cost curve for generating code with AI has moved in one direction, and it has moved fast. What used to require a senior engineer’s full attention for an afternoon can now be sc...

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devops.com /3 weeks ago

AI Code Generation Raises New Quality Risks

Mladen Lazic, CTO of Scopic, joins Mike Vizard to explain why AI-generated code is outpacing review capacity — and why independent QA agents that never see the source code are beco...

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javacodegeeks.com /1 month ago

Designing Reliable AI Agent Systems

Over the past few years, artificial intelligence has evolved from a largely experimental research field into a fundamental part of modern software systems. Driving this change is a...

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dev.to /1 month ago

Tactical vs. Strategic Agentic AI Development — A Playbook for Developers

The Strategic Engineer: Why Writing Code Is No Longer Your Most Valuable Skill Introduction: The Trap You Don't Know You're In Picture this: your team just shipped a n...

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dzone.com /2 weeks ago

AI-Assisted Development Without Chaos

AI Accelerates Development, But Governance Determines Whether It Reaches Production Over the last two or three years, I’ve watched AI-assisted development move through distinct pha...

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syncfusion.com /2 weeks ago

Build Faster with Syncfusion AI Coding Assistant Tools: Agent Skills and the MCP Server

Why does AI-generated component code still need manual fixes? Explore how Syncfusion Agent Skills and MCP Server improve accuracy and speed up development.

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developer-tech.com /1 week ago

Google says Go is well suited to AI-generated code

Google is making the case that the rise of AI-generated code is changing the criteria developers use to assess programming languages, with readability, verification, and long-term...

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sdtimes.com /1 month ago

The New New Engineering

Every engineer I know is coding with AI now. Agents are writing a massive amount of code, and yet somehow nobody is shipping 5x more software. Teams got their 30% bump when AI codi...

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syncfusion.com /1 week ago

How to Evaluate an AI IDE in 2026: Features That Matter for Development Teams

Choosing an AI IDE in 2026? Compare developer experience, agentic workflows, governance, and cost controls before making a decision.

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kittl.com /5 days ago

Introducing: Agentic AI

Generative AI models are getting better every month. Using them is not. You still have to pick the right model, write the right prompt, and fiddle with settings before achieving de...

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devops.com /1 month ago

Survey: More AI Code Running in Production Environments with Caveats

A global survey of 309 software engineering leaders, published today, finds 81% of organizations have to some degree reworked development and release processes to accommodate code...

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youthkiawaaz.com /2 weeks ago

Artificial Intelligence in Web Development

Artificial Intelligence is becoming increasingly integrated into the web development lifecycle.Developers can use AI-assisted tools for tasks such as:• Code generation• Debugging•...

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ministryoftesting.com /3 weeks ago

AI Coding Skills & Plugins - Notes by Rishikesh V.

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ixdf.org /1 month ago

Use AI to Contribute Code and Develop Your Own Products

Working code now sits at the other end of a natural language prompt. AI is blurring the lines of your role, and that's a good thing. Master it now and expand what you can deliver:...

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towardsdatascience.com /6 days ago

Webwright: Why AI Web Agents Should Write Code, Not Click

For years, web agents have worked one click at a time—and often fallen apart on long tasks. Microsoft Research’s Webwright makes a different bet: give the model a terminal and let...

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businessinsider.com /1 month ago

AI writes a lot of software. Now, human code review is starting to disappear.

AI coding agents like Cursor are increasingly trusted to work autonomously, with a rise in AI-generated code reaching production directly.

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dzone.com /1 month ago

The Production-Readiness Gap in AI-Generated Full-Stack Apps

Full-stack applications are becoming easier to develop with the help of AI tools. All the developer has to do is enter a short description of what they want the application to be,...

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dev.to

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devops.com

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feeds.businessinsider.com

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ixdf.org

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