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INSIGHTS & NEWS

Expert perspectives on AI automation, workflow optimization, and the future of intelligent business systems.

Latest Articles

industry insights5 min read

Claude Mythos Preview: The AI They Decided Not to Release

Anthropic published a 244-page system card for Claude Mythos Preview — not a product launch, but a warning. The model finds and exploits critical software vulnerabilities autonomously, at industrial scale. It's already uncovered thousands of zero-days across every major OS and browser, some hidden for nearly three decades. They built it. Then decided not to ship it.

AICybersecurityAnthropic
LAXIMA Team
case studies22 min read

The Agentic Coding Showdown: Claude Code, OpenAI Codex, and Intent by Augment

Three agentic coding tools. Three radically different philosophies. This isn't a feature list — it's a deep guide covering skills systems, subagents, hooks, plugins, CI automation, and model flexibility (yes, including local Ollama models). We also cover the LAXIMA Skills plugin for Claude Code and our free Prompt Library. Read before you pick a tool.

Claude CodeOpenAI CodexIntent Augment
LAXIMA Team
ai automation22 min read

The Technical Guide to Claude AI (2026): Models, Claude Code, and Enterprise Workflows

Claude has crossed a threshold. With the February 2026 release of Sonnet 4.6 — now the default model on claude.ai — Anthropic has delivered Opus-class reasoning at Sonnet pricing. But the model upgrade is only part of the story. Claude Code now runs agents in your terminal overnight. Plugins extend it with custom skills. Excel connects to live financial data via MCP. This guide is the unified technical manual that ties it all together: model comparison, CLI installation, plugin marketplace setup, prompt engineering, and enterprise workflow integration — everything a developer or tech lead needs to actually build with the 2026 Claude ecosystem.

ClaudeClaude CodeClaude Sonnet 4.6
LAXIMA Team
industry insights2 min read

How AI Is Reshaping the SDLC - 2025 Year-End Edition

AI has collapsed development timelines but demands more rigorous planning. Single developers now do the work of small teams, yet architectural thinking has replaced syntax mastery as the core skill. Development companies must recalibrate team sizes and timelines, while customers get faster delivery at new cost structures. AI hasn't made development easier - it's made it fundamentally different.

AISDLCBusiness Impact
LAXIMA Team