The PR Is Too Late to Discover You Built the Wrong Thing
A concrete walkthrough of how AI-native delivery turns work intake into approved intent, approved context, agent-assisted implementation, and outcome-aware PR review.
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Notes on AI-first software development.
Perspectives from the Amulent team on building, shipping, and governing software in the AI-first era.
The Missing Layer in the AI-Native SDLC
The AI engineering stack has coding assistants, PR tools, and analytics. What it lacks is the operating layer that connects intent, context, execution, verification, and outcomes.
Read moreWhy Specs Are the New Prompt
Ad hoc prompts do not scale across product and engineering. Approved Specs turn product intent into reusable, governed context for teams and AI agents.
Read moreWhy 89% of Executives See No AI Productivity Gains Yet
AI adoption is spreading, but many leadership teams still do not see firm-level productivity gains. The issue is not the tools. It is the missing operating model between AI activity and delivery throughput.
Read moreSpec-Driven Development Has Quietly Taken Over.
In the last twelve months, spec-driven development moved from a niche practice to the default operating model for AI-assisted software engineering. The shift is structural — and it changes how teams ship software.
Read moreReduce the Risk of Legacy Software with AI-Powered Analysis
For enterprises and government agencies, legacy software is more than outdated code — it is operational and financial risk. How AI-powered analysis helps reduce it.
Read moreGemini 2.0 Flash: A New Challenger in AI-Powered Development
Comparing Claude 3.5 Sonnet, Gemini 2.0 Flash, GPT-4o, and more for software development. Which models hold up under enterprise workloads.
Read moreAnnouncing CodeMerlin
Introducing CodeMerlin, the development control tower for AI spec-driven software delivery.
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