This case study was originally published on devin.ai.
From Writing Code to Designing Systems: AHEAD as Devin Client Zero
AHEAD ran a pilot with the company’s own internal engineering organization as client zero, with defined use cases, baselines, and success criteria. The pilot covered eight high-impact production use cases spanning Terraform, Snowflake, Go, Salesforce, MuleSoft, Azure, and dbt. Devin became fully productive within two business days, delivering 8x to 40x time savings measured against manual baselines.
During the pilot, two projects revealed something more fundamental about how engineers’ work itself was changing.
Salesforce unit test failure analysis
After AHEAD trained Devin on the workflow, it owned the task end to end. The team gave Devin its own Salesforce user with two-factor authentication and it logs in and clears the OTP prompt on its own. From there, Devin navigates to the administrative deployment page through the UI, finds a failed deployment, analyzes the error logs, goes into the codebase, fixes the code, and opens a pull request. Doing all these steps autonomously with no human in the loop proved just how much complexity Devin could take on. Engineers moved from executing the fix to defining what a good fix looks like.
MuleSoft API documentation and testing
A senior engineer used Devin to build three APIs in a single day, a process which previously took four weeks. When Devin encountered a connector integration issue it could not resolve directly, it navigated into the third-party connector’s packaged source code, diagnosed the problem, and fixed the implementation on its own. With Devin writing the APIs, engineers focused on reviewing and approving them.
In both cases, the pattern persisted: Devin handled the implementation while the human engineer handled the architecture and quality judgment.
The Shift
While the productivity gains were significant, the cultural shift was much larger. The real unlock came when engineers started treating Devin like a team member.
“As soon as we started provisioning it like we would a developer, training it like we would a developer, everything changed.”
Matt Mierzejewski
On a Sunday night, a CI pipeline failed. Instead of logging in to diagnose it, Matt sent Devin a Teams message:
“The pipeline’s failing in this repo. Can you go fix it? And by the way, I don’t want to get these on the weekend.”
By the next morning, Devin had opened two ready-to-merge pull requests — one that fixed the broken code, one that rescheduled the pipeline to stop firing on weekends.
At AHEAD, the engineer’s job is transforming from pure implementation to strategically architecting what the implementation should be. Across the team, the question has evolved from whether to use Devin to why they would not.
“I’m trying to turn our software engineers into product engineers. The machine is so much faster than we will ever be at entering code. I want people spending more time designing the software and giving the AI the guardrails it needs.”
Matt Mierzejewski
Going to Market
For AHEAD, the internal rollout was the blueprint for a client-facing practice. Devin sits inside a broader AI-accelerated development offering, where AHEAD advises clients on tool strategy and where to invest, trains their engineering organizations to adopt agentic development, delivers the work alongside them, and measures returns in terms a board can act on.
Each pilot use case equipped AHEAD with a library of reusable templates. AHEAD now has Devin playbooks for upgrading Terraform providers, evolving data models, provisioning Azure resources, Go services, and Salesforce and MuleSoft testing, each ready to run on client engagements.
That practice meets clients wherever they are. Some lean on AHEAD’s own engineers, who now run Devin daily across their codebases. Others bring AHEAD in to accelerate active engagements, compressing migrations and tech-debt work that used to define a project’s timeline. A growing number are turning to AHEAD to run Devin as an ongoing managed service. In every case, the methodology is the one AHEAD proved on itself, and the clients already in the field are seeing it hold up under real delivery.
“Devin is the keystone of our AI Accelerated Development offering. Our customers are solving business problems, not just technical ones, and Devin lets us tackle both. The advisory, enablement, and customization we’ve built around it are what help the world’s biggest companies actually get there.”
Eric Kaplan, CTO, AHEAD
What’s Ahead?
AHEAD is continuing to rollout Devin across its engineering organization and expanding to additional teams and verticals. With a strong foundation laid down, every new team onboards faster than the last.
The team is also using Devin’s scheduling capabilities to automate recurring, time-consuming tasks: analyzing vendor release notes against the codebase and surfacing code-change recommendations, evaluating package management overrides, and benchmarking new AI models against cost and performance thresholds.
Having proved Devin on its own engineering organization, AHEAD now brings that expertise to clients through a full set of services built around the platform:
- AI Advisory: helping clients decide where to invest across an increasingly saturated AI tooling landscape.
- Change Management & Enablement: rolling agentic development out across large engineering teams through structured pods, training, and curated playbooks.
- Installation & Customization: standing Devin up inside a client’s own environment, tuning it to their codebases and standards.
- ROI Analytics: measuring the return in terms a board can act on.
Together, these help some of the world’s largest companies force-multiply their technology transformations, with Devin serving as the keystone of AHEAD’s AI Accelerated Development offering.
We’re excited to partner with AHEAD as they scale this new model of engineering across their vast client base. With existing deployments already driving meaningful results, AHEAD is refining its repeatable delivery playbook with every engagement. Organizations interested in deploying Devin at scale through a proven partner can connect with the AHEAD team directly.
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