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title: How to Build Agentic Engineering Systems? | daily.dev
description: An opinion piece argues that the future of software engineering lies in designing agentic systems rather than coding faster. It contrasts the traditional...
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# How to Build Agentic Engineering Systems?

**[Pavan Belagatti](https://daily.dev/sources/dfa0u7-fs)** · [@johhnypav](https://daily.dev/johhnypav) · 2 min read · 46 upvotes · 3 comments

## Summary

An opinion piece argues that the future of software engineering lies in designing agentic systems rather than coding faster. It contrasts the traditional human-in-the-loop SDLC with an agentic model where specialized agents (Coder, Reviewer, Tester, Deployer) coordinated by an orchestrator and wired into tools like GitHub, CI, and Datadog handle stages once owned by senior engineers, framing this as a shift from AI-as-autocomplete to AI-as-a-team-of-junior-engineers.

## Content

The biggest flex for developers today is not about coding faster. 
It is designing efficient agentic systems & workflows.

For almost thirty years, software engineering optimized around a single bottleneck: Human in loop at every stage of the SDLC. 

Every tool - IDEs, linters, autocomplete, even early Copilot - assumed a developer was driving and the machine was assisting. Agentic engineering inverts that assumption. The developer becomes the orchestrator; the agents become the drivers. How cool is that, right?

Look at the SDLC on the left side of this diagram below. Every stage that used to define a senior engineer's week - translating a Jira ticket into a spec, writing the feature, reviewing the PR, fixing the failing test, deploying to staging, triaging the 3 a.m. alert, is now a candidate for delegation. 

Not because agents are smarter than your best engineer, but because they're tireless, parallelizable, and increasingly competent at bounded tasks.

The system on the right is where the leverage compounds. A single agent running Plan → Code → Review → Ship is useful. 

A fleet of specialized agents - Coder, Reviewer, Tester, Deployer - coordinated by an orchestrator and wired into your real environment (GitHub, CI, Datadog, the codebase) is a force multiplier. This is the shift from "AI as a faster autocomplete" to "AI as a team of junior engineers that never sleep."

## Community discussion

Top comments from developers on daily.dev.

**@agustinbarrientos** · 1 upvotes

> Who gets paged when the Deployer role reports success but Datadog says the service never recovered?

**@gabibeyo** · 0 upvotes

> Framing agents as a junior team wired into GitHub/CI is right. That is also why least-privilege and gateway decks feel one generation late.
>
> Juniors with shell access do not fail politely inside the ticket template. They take initiative across tools.
>
> Orchestrator + Coder + Reviewer + Tester is a process design. Security still needs the boring question after each stage: what did that role actually invoke, and against what?
>
> If the only control is which agent title is allowed to run, you have org-charted the jail. Watch the work product and the tool trail, same as you would watch a fast human...

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---

Tags: [#github](https://daily.dev/tags/github), [#ai-agents](https://daily.dev/tags/ai-agents), [#cicd](https://daily.dev/tags/cicd), [#agentic-ai](https://daily.dev/tags/agentic-ai)

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