Shared agentsSoftware 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
//Agent DLC
Ship AI agents with theconfidence you ship code.
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.
Non-deterministic
Same input, different actions
An agent decides its own tools and actions on every run, so a test that passes once is no guarantee it passes again.
Compliance
Not a bad week. A headline.
An agent that exposes data or acts without authorization becomes a compliance event, not just an incident.
Provenance
Many moving, independent parts
Prompts, skills, tools, and models evolve on their own, with no single system tracking version or provenance.
8%
of organizations have agentic AI in production. (Gartner)
40%+
of agentic AI projects will be canceled by 2027. (Gartner)
79%
of orgs deploying agents lack mature governance and audit controls. (S&P Global)
77%
say AI adoption has outrun their governance capabilities. (IBM)
//Overview
What is an agent development lifecycle (Agent DLC)?
An agent development lifecycle (Agent DLC) is the discipline of building, testing, versioning, deploying, operating and governing AI agents with the same rigour as application code, adapted for agents that can act differently on the same input.
DataObserve Developer extends your existing pipelines to agents: agents build into artifacts, pass eval quality gates, version every prompt, model and dependency, ship through governed pipelines, and get an owner, an AI-BOM and one audit trail from build to production.
//One platform
One platform for the entireagent development lifecycle.
Agents run through the same stages you already run for software, inheriting your CI/CD pipelines, policies, and audit trail.
CI
Agents build into artifacts
Like any other service, through the same CI that builds everything else. No new build system required.
//Security woven into every stage
Shift left, and shield right
Primitive scanning and AI-BOM
Scan skills, prompts, and models before they ship, and capture every model, tool, and dependency.
AI testing on the OWASP Top 10
Run agents against adversarial inputs across the OWASP Top 10 for LLM and agentic AI risk.
Agent discovery and AI firewall
Map agents as they spin up, then block prompt injection and tool misuse at runtime.
One audit trail, build to production
OPA policies, approval gates, and audit trails apply to every agent pipeline.
//Explore more withDataObserve
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//Use cases
Agent DLC: use cases
Agent releases
Ship agent changes through CI/CD with quality gates instead of manual uploads.
Prompt and model changes
Version and roll back prompts and models like any other dependency.
AI security reviews
Scan agent primitives and test against the OWASP Top 10 for LLM applications.
Agent inventory
Know every agent in use, who owns it and what it can reach.
//FAQs
Agent DLC: questions teams ask
What is Agent DLC?
The development lifecycle for AI agents: build, test, store, deploy, operate, and govern, on the platform and governance you already use.
Why do agents need their own lifecycle?
Agents are not deterministic. The same agent can take a different action on identical input, so a test that passes once is no guarantee.
Do I need a separate toolchain for agents?
No. Agents build through CI, ship through CD, and are governed by the OPA policies and RBAC already in your pipelines.
What is an AI-BOM?
An AI bill of materials lists the models, prompts, datasets, tools and dependencies inside an AI agent, so security and compliance teams know exactly what is running.
How do you test a non-deterministic agent?
With evals: suites of scored test cases graded on a spectrum, run in the pipeline as a quality gate and repeated online after release.
Can agents be rolled back?
Yes. Prompts, models and dependencies are versioned artifacts, so an agent can be rolled back to a known-good version through the same pipeline.
