Shared agents
Coding agent integrationsSoftware Delivery Agent
From code through prod, the Software Delivery Agent automates your CI/CD and IaC delivery following your policies and golden paths.
- Software Delivery & Engineering
//AI DLC
AI from codethrough production.
AI DLC (AI-Driven Development Lifecycle) applies AI across the whole software lifecycle, not just to writing code. Build, test, secure, deliver, and optimize on one governed platform.
Bottleneck
More code, same bottleneck
Agents write code faster than teams can review, test, secure, and ship it. The work piles up after the commit.
Fragmented
The lifecycle is fragmented
Everything after the pull request lives in disconnected tools with no shared context to reason over.
Guardrails
Autonomy with guardrails
Agents act across delivery only with policy, approvals, and audit built into every step.
Developers and AI write code.
DataObserve AI does the rest.
//Overview
What is the AI-Driven Development Lifecycle (AI DLC)?
The AI-Driven Development Lifecycle (AI DLC) applies AI agents to every stage of software delivery (build, test, secure, deliver and operate), not only to writing code, so faster coding doesn't simply move the bottleneck downstream.
DataObserve Developer runs the AI DLC on one governed platform: agents share full system context across the lifecycle, hand work between stages without tool changes, and act within Policy as Code guardrails.
//One governed lifecycle
One governed lifecycle,driven by AI.
Keep writing code with the agents you already use. DataObserve AI takes it from there.
Minutes
Commit to feedback in minutes
Coding agents plug straight in, and every commit kicks off optimized CI that gives developers and agents fast, reliable feedback.
- Coding agent integrations
- Rapid feedback
- Build once, trust everywhere
//The Autonomous SDLC Platform
Nothing stalls in a handoff between tools
One platform
Every phase from code through production shares context, policy, and AI.
Agents do the work
Agents mesh with deterministic automation to deliver at a pace no human team could match.
Full system context
The Knowledge Graph links pipelines, policies, incidents, and services so agents decide with complete context.
Governed by default
Policy, approvals, and audit are built into every step, not bolted on.
//Explore more withDataObserve
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Agent DLC
Agent DLC is the development lifecycle for AI agents, extending the pipelines, governance, and controls you already trust for code to the full agent lifecycle.
- Software Delivery & Engineering
Deployments
The Software Delivery Agent builds continuous delivery pipelines, runs them, and fixes what breaks.
- Software Delivery & Engineering
//Use cases
AI DLC: use cases
AI coding at scale
Keep build, test and release capacity in step with AI-generated code volume.
Toolchain consolidation
Replace a chain of point tools with one platform and one context.
Platform engineering
Give every team governed golden paths that agents follow by default.
Delivery metrics
Improve lead time and change failure rate together, not one at the other's expense.
//FAQs
AI DLC: questions teams ask
How is AI DLC different from the traditional SDLC?
The stages are the same, but agents do much of the work at each stage, sharing context so handoffs between build, test, security and release no longer stall.
Does AI DLC remove humans from software delivery?
No. People set policy, approve risky changes and own outcomes. Agents handle repetitive work within those boundaries.
What does an organisation need to start with AI DLC?
Source control, a delivery pipeline and clear policies. DataObserve Developer connects to existing repositories and tools and adds agents stage by stage.
Where does AI DLC show results first?
Usually in build and test time and in failed-build triage, because those steps feel the extra volume of AI-written code first.
