Software development is undergoing its most significant transformation since the advent of cloud computing. Agentic software development — the practice of using AI agents to autonomously design, write, test, and deploy software — is moving from research labs into production environments. At New Buffers, we've been building with this paradigm since our founding, and we believe it represents the future of how all software will be created.
What Makes Development "Agentic"?
Traditional software development relies on human developers for every step: writing requirements, designing architecture, implementing code, writing tests, and deploying to production. Agentic development introduces AI agents that can handle one or more of these steps autonomously, with human oversight at critical decision points.
The key distinction is autonomy with accountability. Unlike simple code-generation tools that produce snippets, agentic systems can reason about problems, plan solutions, execute multi-step workflows, and learn from feedback — much like a junior developer who improves with each task.
The Core Components
An agentic development system typically consists of: (1) Planning agents that break down requirements into technical tasks, (2) Implementation agents that write production-quality code, (3) Testing agents that generate and execute comprehensive test suites, (4) Review agents that analyze code for quality, security, and performance, and (5) Deployment agents that manage CI/CD pipelines and infrastructure.
Why It Matters Now
Three converging trends make agentic development viable today. First, large language models have reached a quality threshold where generated code is production-usable. Second, frameworks like LangChain, LangGraph, and CrewAI have matured enough to orchestrate complex multi-agent workflows. Third, enterprise demand for faster delivery at lower cost creates a market pull that justifies the investment in agentic infrastructure.
At New Buffers, we've seen agentic workflows significantly accelerate development cycles while improving code quality and consistency. The economics are compelling: teams can deliver more value with fewer resources, not by working harder but by working smarter.
The Road Ahead
We're still in the early innings. Current agentic systems excel at well-defined tasks within known domains. The next frontier is agents that can handle ambiguity, make architectural decisions, and learn from production feedback loops. As these capabilities mature, the role of human developers will shift from writing code to defining intent, setting constraints, and ensuring alignment — essentially becoming the architects and overseers of autonomous engineering systems.
The companies that adopt agentic development now will have a compounding advantage. Every project improves their agents, their processes, and their delivery capability. This is why we're all-in on agentic development at New Buffers — it's not just a better way to build software, it's the only way to build at the scale and speed the future demands.