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//LeapforProductivity//SDLC

Your harness for autonomous SDLC

From first spec to release notes, every step pinned to what you approved.

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  • Software Delivery & Engineering

    Agents plan, build, test and ship every change through your pipelines, following your golden paths and review rules.

  • Security & Risk Management

    Find, fix and prove every check, from code scans to runtime protection, with roles that decide who approves what.

  • AI Quality & Reliability

    Evaluate any frontier or open model, gate releases on quality, and keep incidents, flags and resilience in check.

  • Cost & Operations Management

    Track cloud, AI and token spend by team and outcome, and let people and agents act on it together.

//Autonomous SDLC Platform

Agents for your software factory

From code through production, DO Code agents automate your CI/CD and infrastructure delivery, following your policies and golden paths.

  • //Software Delivery Agent

    Stop stitching scripts together.The Software Delivery Agent takes every change safely from commit to production.

    • Automate your pipelinesDeep integrations replace hand-built scripts
    • Run agents in your pipelineAI doesn’t just run each step, it reasons through it
    • Deliver anything, anywhereShip code, AI agents, schema and infrastructure

  • //Security Testing Agent

    Stop chasing false positives.The Security Testing Agent uses AI reasoning to catch real vulnerabilities and AI risks, secure your software supply chain, and prove every required check ran.

    • Scan code and AI alikeAI reasoning catches real flaws, not false positives
    • Prove every check ranOne policy-driven view of coverage and risk across pipelines
    • Secure the supply chainProtects artifacts, pipelines and dependencies from tampering

  • //Runtime Protection Agent

    Catch advanced threats.Protect your APIs, AI agents and apps against malicious interactions on any surface.

    • Assess and improve your API postureContinuously discover, assess and remediate risk in APIs
    • Protect against attacks and abuseTrace every request and response for stronger attack detection
    • Secure AI agents and assetsIdentify, test and protect the AI agents in your environment

  • //Cost Management Agent

    AI and cloud spend is growing faster than your visibility.The Cost Management Agent attributes every dollar, eliminates waste and enforces budgets automatically.

    • AI cost visibilityEvery token traced to a team and outcome
    • Measure engineering ROICost per PR, ticket or business value
    • Eliminate cloud wasteAutomatically stop idle resources before the bill arrives

//Knowledge graph

DO Code gets smarter with every cycle

Intelligence compounds with every deployment. DO Code learns patterns across your pipelines, from every incident and cost event, and keeps improving its recommendations.

Raw context

Commits, pull requests and test runs

Builds feed the graph

Every build links its commit, pull request, tests and artifact, so agents can see what changed and what it touched.

See DO Codein action

Watch an agent take a change from pull request to production, with every check, approval and rollback decision on the record.

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//Scale

Built for enterprise from day one. Delivery agents only work in the enterprise when every change is governed, explainable, and permission-aware.

Every capability below runs inside the policies and permissions your teams already have, and records what each agent did, so security and audit teams can sign off on it.

Lifecycle

AI DLC

AI across the whole lifecycle, not just writing code: build, test, secure, deliver and optimise on one governed platform.

Agent DLC

Ship AI agents with the pipelines, governance and controls you already trust for code.

AI Evals

Score every agent response and gate every release with eval suites that run inside your pipeline.

Reliability

Incidents

Alerts, recent changes and what your team knows, connected by AI so the cause is found faster.

Resilience Testing

Agents predict where resilience will break and generate the chaos, load or recovery test that proves it.

Runtime Configuration

Feature flags, configs and AI configs, targeted, measured and governed from one place.

Trust & support

Mythos Readiness

Find, fix and ship together when zero-days and AI-powered attackers shrink the time you have to respond.

Trust Center

Review security practices for our infrastructure, products and your data.

Documentation

Guides, reference docs and training for delivery, security, runtime protection and cost.

//Governance your CISO will love

Each step with its real status

Every agent action runs inside the policies, permissions and approvals you already have, and leaves a record your security team can review.

  • Policy-as-Code

    OPA-based guardrails define what DO Code agents can and cannot do.

  • Full audit trail

    Every AI decision is logged, explainable and reviewable.

  • RBAC aligned

    AI permissions follow your org structure for air-tight escalation.

  • Human-in-the-loop

    Critical actions require approval. DO Code recommends, you decide.

//FAQs

Developer, answered

  • What is DataObserve Developer?

    DataObserve Developer is an AI software delivery platform for the autonomous SDLC: agents for delivery, security testing, runtime protection and cost that act within the policies you approve.

  • What is the autonomous SDLC?

    The autonomous software development lifecycle uses AI agents across build, test, security, delivery and operations, acting within policies people set, so faster code generation doesn't create downstream bottlenecks.

  • Which agents does DataObserve Developer include?

    Four agents: Software Delivery, Security Testing, Runtime Protection and Cost Management, plus the Cosmos software factory agent for ticket-to-pull-request work.

  • How are Developer's agents governed?

    With Policy as Code (OPA), freeze windows, RBAC, approvals and an immutable audit trail, so agents only act where your policies allow.

  • Does DataObserve Developer replace our CI/CD tools?

    It includes CI, CD, GitOps, artifacts and a developer portal, and can run alongside existing tools while pipelines move over.

  • Can Developer manage AI and cloud costs?

    Yes. The Cost Management Agent attributes AI and cloud spend, finds waste and enforces budgets at the level of autonomy you choose.

// Designed for enterprises

We safeguard your company data and protect workspace privacy.

Review security, data handling and deployment requirements with our team.

  • Security and privacy

    Keep sensitive information within your organization’s approved data boundaries.

  • Governance and access

    Define who can access connected data and which actions require approval.

  • Enterprise deployment

    Plan deployment around your infrastructure and operational requirements.

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