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Find Out If Your Engineering Org Is Ready for Autonomous Software Development
A structured, evidence-based assessment that shows exactly where your software delivery stands today, and a proven, reversible path to safely hand routine engineering work to AI agents, without losing control over what ships.
The Problem: AI can write code faster than your team can check it.
AI coding assistants have changed what's expensive in software delivery. A working change can be ready in an hour. What hasn't gotten faster is the work needed to be confident that change is correct, safe, and actually what the business needs. When producing code speeds up but checking it doesn't, the result isn't faster delivery. It's a growing queue of work waiting for review.
Most engineering orgs are stuck earlier in this than they think: AI drafts and suggests, but a person checks and decides everything, every time. Moving past that safely isn't about a better model. It's about proof.
What You Get
- A rated assessment across all seven delivery stages: Plan, Code, Verify, Release, Deploy, Monitor, Govern
- A maturity score (L0 through L5) for each stage, backed by evidence from your own team's process, not a guess from a sales call.
- A concrete four-week pilot plan on one real service, using 5-10 actual backlog items, with a clear bar for continuing: at least 20% less human review effort, no slower delivery, no weaker proof the work is correct.
- A specific map of what you'd actually need (AWS Bedrock, AgentCore, your existing CI/CD, your existing work tracker) and what you don't.
The Maturity Scale
| Level | What it looks like | Who decides |
| L0 | No AI involved | People do everything |
| L1 | AI suggests, a person assembles the result | People |
| L2 | A person gives AI a well-defined task and reviews everything | People review every output |
| L3 | An agent runs a multi-step workflow while a person supervises | People supervise as it happens |
| L4 | An agent works within fixed limits, people approve from evidence | People approve at checkpoints |
| L5 | Agents work under standing rules, no routine per-change approval | People govern the system |
Most engineering teams using AI assistants today are at L2. Level 4 is the realistic, safe target for a first pilot, not L5.
How It Works
- Discovery. We walk your engineering, business acceptance, security, and platform teams through how you actually build and ship software today, across all seven stages.
- Evidence-based rating. We rate what's demonstrated and measured, not what a tool could theoretically do. Gaps are marked "unverified," not guessed at.
- A tailored pilot design. One service, a small set of real backlog items, a named owner for each approval, and hard caps on cost and setup time before anything starts.
- A decision-ready report. At the end, you get one of three honest recommendations: expand, invest in verification only, or stop. Not a sales pitch dressed up as a finding.
Why AllCode
AllCode holds AWS's Agentic Competency, is an Anthropic partner (with Professional Solution Architects on staff), and an OpenAI partner, which means we can design and implement this on whichever model/platform stack actually fits your environment, not just the one we're incentivized to sell.