The paradigm shift where AI agents don't just assist — they build. Autonomously planning, coding, testing, and shipping software while humans direct.
Agentic development is when autonomous AI agents handle the full software lifecycle — planning, coding, testing, and deploying — while humans provide direction and review. Think of it as managing a team of tireless AI builders instead of writing every line yourself.
Click each stage to explore how development has evolved.
Multiple specialised AI agents collaborate on the project. Human sets strategy and reviews. Agents plan, build, and test autonomously.
Low effort, high throughputAgentic development is a software development methodology where AI agents operate as autonomous team members. Unlike traditional AI-assisted coding — where you type and an AI suggests completions — agentic development gives AI agents the ability to:
"Build a landing page for this business with contact form and testimonials."
Analyses the codebase, identifies components needed, creates an implementation plan.
Writes code across multiple files — components, styles, data, pages — in one session.
Runs type checks, build, and tests. If something fails, it reads the error and fixes it.
Developer reviews the diff, requests adjustments if needed, then merges and deploys.
Agents independently plan and execute multi-step tasks without constant guidance.
Multiple specialised agents collaborate — research, build, review, deploy — like a real team.
Agents test their own output, catch errors, and self-correct without being prompted.
People set direction, review output, and make final calls. Agents execute; humans decide.
We run a team of 5 specialised AI agents that operate autonomously on 90-minute cycles:
This team built 7 bespoke websites overnight — each with unique designs, real business data, and production-quality code. That's agentic development in practice.
Agentic development is a software development paradigm where autonomous AI agents handle the full lifecycle — planning, coding, testing, and deploying — with humans providing direction and review rather than writing every line of code.
AI code assistants like Copilot suggest completions within your editor. Agentic development goes further: agents independently plan tasks, write entire features, run tests, fix bugs, and iterate — operating as autonomous team members rather than autocomplete tools.
Common tools include Claude Code (Anthropic), Cursor, Windsurf, Devin, and custom agent orchestration frameworks. These tools give AI agents access to terminals, file systems, browsers, and version control.
Yes, when practiced with proper guardrails. Human review of all changes, automated testing, sandboxed environments, and incremental deployments ensure quality. The human remains the decision-maker; agents are the builders.
No. It amplifies developers. One person can now direct a team of AI agents, dramatically increasing output while still requiring human judgment for architecture, design, and business logic decisions.
Ship your next project in a 2-week agentic development sprint. Real results, not experiments.