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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...
Some AI adoption stories are embarrassing, and the embarrassing part is that nobody in the room seems to notice. A development team adds AI coding assistants. Velocity metrics look...
Artificial Intelligence is becoming increasingly integrated into the web development lifecycle.Developers can use AI-assisted tools for tasks such as:• Code generation• Debugging•...
New AI-first development approach pairs a smaller engineering footprint with AI-assisted design, coding, and testing to significantly increase development velocity Model validated...
Choosing an AI IDE in 2026? Compare developer experience, agentic workflows, governance, and cost controls before making a decision.
Originally published at nlocoding.com Only 18% of developers trust their AI debugging assistant to suggest production-ready fixes without review. The other 82%? They’re still g...
In the current time , AI is growing very fastly as compared to last year. Earlier there are only AI chat bots like GPT , Gemini which can answer and write the code but now new Powe...
How Claude Code accelerated development on an unfamiliar stack while proving that production-ready AI-generated code still requires human judgment.
Artificial intelligence has rapidly become a core capability in modern software development. For Java developers, integrating these capabilities into existing enterprise applicatio...
To mitigate risks, companies should ensure meaningful human contributions to development, maintain detailed documentation, use enterprise AI platforms with proper contractual prote...
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...
The demo is the easy part. Products succeed or fail in the hidden 90%: rules, edge cases, security, and ownership.Continue reading on Artificial Intelligence in Plain English »
The 2026 Django Developers Survey (results coming soon!) found that AI is part of the weekly or daily workflow for 90% of respondents. AI can write code quickly, but Django develop...
Why does AI-generated component code still need manual fixes? Explore how Syncfusion Agent Skills and MCP Server improve accuracy and speed up development.
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,...
AI-assisted software engineering is becoming part of software development on a daily basis. AI tools are used now for code creation, writing tests, reviewing changes, troubleshooti...
If AI can build an application from a simple description, why do we still need software developers?It is a question I have been thinking about recently. AI can now generate code, c...
Adronite launches Codistry, an AI coding tool that uses a context engine to map codebases, reduce token usage and generate more production-ready code.
Engineering teams adopting the AI-Driven Development Lifecycle (AI-DLC) often struggle to turn concepts into working code. This post walks through two reference implementations on...
AI makes software development faster and cheaper, but speed alone does not create better products.
The traditional software development life cycle (SDLC) exists for good reasons. Its stages – planning, analysis, design, coding, testing, deployment, and maintenance – are designed...
By Arun Adiththan, Senior Researcher on GM’s R&D team and Daniel Struck, Software Architect on GM’s VMEC embedded software team Artificial intelligence is rapidly reshaping sof...
Agentic development platforms (ADPs) move AI-enhanced development from experimentation to enterprise decision-making. As AI coding assistants evolve into platforms that can coordin...
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