AI-DLC with Frontier Investigation Agents
AI writes the code. Who runs it in production?
AI-DLC turns months of building into days. Frontier Investigation Agents review, secure and run everything your coding agents ship, and find the why when production breaks.
Construction got fast. The bottleneck moved to operations.
AI-DLC solved intent-to-code. Everything after the diff (review, security, cost, incidents) still runs at human speed.
AI-DLC has three phases. Most teams only tooled two.
The coding agent produces the diff. CloudThinker's agents review it, pentest it, gate the release, watch the spend, and take the pager.
Inception: intent to plan
Humans and AI turn business intent into requirements, stories and units of work. Covered by coding agents like Kiro.
Construction: plan to code
Bolts of hours, not sprints of weeks. AI generates code and tests, humans validate every step. Also covered by coding agents.
Operations: code to running system
CloudThinker's half. A review on every merge request, a pentest on every release, the spend watched and incidents answered. Works with any coding agent.
Velocity you can defend to an auditor.
AI-DLC's rule is AI executes, humans oversee. CloudThinker applies it to production: agents act inside guardrails you define, and every action is attributable.
Autonomy you grant
Agents start read-only and recommend. You expand what they may do on their own as trust builds.
Approval workflows
Sensitive operations wait for a named human, and change windows are enforced.
Sandboxed and audited
Brokered identity, scoped credentials and sandboxed execution. Who asked, what ran and who approved, in a tamper-evident log. SOC 2 Type II, BYOK available.
Questions, answered.
What is AI-DLC?
The AI-Driven Development Lifecycle (AI-DLC) is a way of building software where AI does the heavy lifting in short cycles called bolts (hours, not sprints) with humans validating each step. It has three phases: Inception (intent → plan), Construction (plan → code), and Operations (code → running system).
Where does CloudThinker fit in AI-DLC?
Coding agents like Kiro, Claude Code, and Cursor cover Inception and Construction. CloudThinker covers Operations: specialist agents review every merge request, pentest every release, gate deploys, watch cloud spend, and respond to incidents, then feed what production learns back into the next bolt.
Why do AI-generated releases need an operations layer?
AI-assisted code leaks secrets at roughly twice the human rate, and every bolt is new attack surface shipping faster than human-speed review can cover. Without operations tooling at the same velocity, teams either slow back down or ship unchecked.
Does CloudThinker replace my coding agent?
No. CloudThinker works with any coding agent. The two layers compose. The coding agent produces the diff; CloudThinker takes it from there and operates the running system.
How much autonomy do CloudThinker agents get?
You decide, per agent and per environment. Most teams start read-only, then graduate to approve-to-act and autonomous as trust builds. Sensitive operations always wait for a named human, and every action lands in a tamper-evident audit log. SOC 2 Type II, BYOK available.
Explore the platform.
- Platform OverviewOne unified layer under every agent.
- Connections100+ secure connections give every agent the full picture.
- Auto ModeSafe autonomy for cloud operations, on your terms.
- Self-hosted sandboxesCloudThinker, on your own machine.
- Skills FrameworkTurn operational knowledge into safe agent action.
- Security & ComplianceSecurity by design, at every layer.
Complete your AI-DLC.
Velocity isn't optional, and neither is operating it. Connect read-only and see verified findings within 48 hours.