Autonomous AI Engineering
This engineer loves backlog, and he never needs to sleep.
Devin is not an autocomplete. It is an autonomous agent for scoped engineering tasks, backlog triage, and legacy codebase modernisation under human review. Arkwright helps you integrate Devin into governed delivery workflows so output improves without losing engineering control.
@DevinCould you pick up PROJ-402? The checkout timezone bug is affecting EU users. Needs a quick fix before the weekend.
Engineering Teams Are
Drowning.
Midmarket engineering is a constant battle between greenfield innovation and technical debt. Devin fundamentally changes the math.
The Endless Backlog
Feature requests and low-priority bugs pile up in Jira because your senior engineers are too busy fighting fires or building core IP.
Legacy Tech Debt
Sprawling, undocumented monoliths that no one wants to touch. Migrations stall because they are too tedious for human engineers to endure.
The PM Bottleneck
Non-technical stakeholders wait weeks for simple UI tweaks or data pulls because they cannot execute on the codebase themselves.
Native to Your Ecosystem.
Devin isn't another tab you have to keep open. It lives where your team works—in Jira, Slack, and GitHub.
What Can Devin Do?
From clearing tedious bug queues to rewriting enterprise Java, Devin tackles the work that slows your team down.
Backlog Annihilation
Feature requests pile up while your engineers fight fires. Devin acts as an autonomous contributor that PMs can assign to low-priority or tedious tickets directly from Jira or Linear. It reads the ticket, navigates the repo, and submits PRs while your team sleeps.
The
Semantic Layer.
Devin doesn't just write code; it reads it. With DeepWiki, Devin crawls your entire legacy codebase and documents it in plain English.We configure this as an MCP, allowing any employee to query your technical architecture using just Slack, and allowing your engineers to build upon it with full context using tools like Claude Code, Cursor, and GitHub Copilot.
Built for
Scale.
Devin belongs in delivery systems with clear scope, human review, and measurable engineering outcomes. We help teams turn autonomous engineering from a vendor demo into a governed operating rhythm.
Devin can draft pull requests for scoped work, but the merge still belongs to your engineering review process.
Start with one narrow backlog or maintenance workflow, then expand only when the controls and evidence hold up.
Connect alerts, logs, and runbooks so Devin can investigate incidents quickly while humans approve production changes.
DeepWiki turns legacy code into searchable context your engineers can query before Devin starts changing files.
Why Partner with
Arkwright?
Deploying Devin at scale requires more than just an API key. We help you synchronize your entire technical ecosystem onto a single, high-fidelity context layer.
- Unified Semantic Layer (DeepWiki + MCP)
- Enterprise-Grade RBAC & AD Integration
- Cross-Tool Context Sync (Devin to ChatGPT)
- PM & Engineering Delegation Frameworks
Devin Core
Secured by Arkwright
Ready to clear your
first 100 tickets?
Book a scoping session to identify which parts of your legacy codebase and Jira backlog Devin can start resolving on day one.