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16 articles
Blogs
The next DevOps challenge is not generating more software. It is proving, quickly and repeatedly, that a growing volume of machine-generated change is fit to ship.
Showing 1–16 of 16
Blogs
Adronite launches Codistry, an AI coding tool that uses a context engine to map codebases, reduce token usage and generate more production-ready code.
Blogs
Anthropic is making Claude Code’s auto mode the default for Pro, Max and Team users, replacing constant permission prompts with classifier-based guardrails designed to catch risky…
AI
AI coding boosts velocity, but without stronger review, governance and codebase visibility, teams risk higher costs, security gaps and production failures. TL;DR
AI
AI agents can now generate in minutes what once took teams weeks, but the real shift is not faster coding. It is the collapse of code scarcity. As software production becomes indus…
AI
AI-generated code is accelerating development but it exposes a deeper issue. Why deterministic infrastructure is becoming the foundation of agentic QA.
AI
Ai2’s open-source SERA coding agents slash the cost of training repository-aware AI, enabling teams to customize high-performance coding agents on private codebases for as little a…
Best of 2025
AI hallucinations – the occasional tendency of large language models to respond to prompts with incorrect, inaccurate or made-up answers – have been an ongoing concern as the enter…
AI
AI has eliminated the bottleneck of writing code—but introduced massive uncertainty in verifying it. This piece explores why deterministic guardrails, smarter linters, and eBPF-dri…
AI
AI code assistants like GitHub Copilot and IBM watsonx Code Assistant are transforming software development—automating routine tasks, improving code quality, and saving developers…
Blogs
Cursor 2.0 introduces the Composer AI model and a new multi-agent interface—offering faster coding, smarter context, and seamless DevOps integration.
AI
AI codegen is transforming software development — but as speed and complexity increase, so does fragility. AI for site reliability will need to keep pace to avoid system breakdown…
AI
Developers are moving beyond single AI coding assistants to teams of specialized agents, boosting speed, scalability, and collaboration in software development.
AI
The usage of AI in the software development life cycle of any project will facilitate faster workflows, thereby enabling your software developers to focus on creative and complex t…
AI
AI hallucinations – the occasional tendency of large language models to respond to prompts with incorrect, inaccurate or made-up answers – have been an ongoing concern as the enter…
Blogs
AWS has extended the reach of its generative artificial intelligence (AI) agents for developers into the realm of application testing.
