AI-Augmented Code & Dev Tooling
Internal Dev Tools That Use LLMs to Move Your Team Faster
Internal developer tools that use LLMs to accelerate engineering: code review bots, automated test generation, PR summaries, and internal documentation agents.
60%+
Avg operational time saved per workflow
10+
LLM & tool integrations delivered
6 weeks
Typical MVP deployment
24/7
Runs continuously, no headcount required
Give your engineers back their time
The mechanical parts of engineering are automatable
A meaningful share of engineering time goes into work that's necessary but not where judgement adds the most value: writing PR descriptions, checking for missing test coverage, keeping internal docs in sync with the code. We build internal tools that handle that layer, so your engineers spend their attention on architecture and logic.
These tools sit in your existing CI/CD pipeline and tool layer: the same orchestration and tool-use architecture we apply to customer-facing agents, pointed inward at your own development process.
Reviews
Catches issues before a human looks
Tests
Generates coverage for weak spots
Summarises
Writes clear, accurate PR descriptions
Documents
Keeps internal wikis current, automatically
What's included
Dev tooling built into your existing pipeline
Code Review Bots
Catches missing tests, style inconsistencies, and security anti-patterns before a human reviewer looks.
Automated Test Generation
Coverage generated for code paths that lack it, reviewed and merged through your normal CI process.
PR Summary Agents
Clear, accurate descriptions of what changed and why, written automatically from the diff and commit history.
Internal Documentation Agents
Keeps your internal wiki and technical docs in sync as the codebase changes, instead of drifting out of date.
CI/CD Pipeline Integration
Every tool runs inside your existing pipeline, no new workflow for your engineers to learn.
Custom Internal Tooling & Scripts
Bespoke internal utilities for the specific bottlenecks your engineering team actually hits.
FAQ
Common questions about AI dev tooling
We build code review bots that flag issues before a human reviewer looks at a pull request, automated test generation for code paths that lack coverage, PR summary agents that write clear descriptions of what changed and why, and internal documentation agents that keep your internal wikis current as the codebase evolves.
No. It's a first pass, not a replacement. The bot catches the mechanical issues (missing tests, style inconsistencies, obvious bugs, security anti-patterns) so your human reviewers spend their time on architecture and logic, the things that actually need engineering judgement. It's the same human-in-the-loop philosophy we apply to every agent we build.
Every AI-generated change goes through your normal CI pipeline and human review before merge, we don't auto-merge AI output. We also instrument the tooling with structured logging so you can see exactly what the agent changed and why, which makes it easy to catch and correct mistakes early rather than discovering them in production.
A focused tool, for example a PR summary bot or a documentation-sync agent, takes 4 to 6 weeks from scoping to deployment. We start with a short discovery sprint to understand your existing CI/CD setup, coding standards, and where engineering time is actually being lost, so the tool solves a real bottleneck rather than a hypothetical one.
Ready to give your engineering team its time back?
Tell us where your dev team loses the most time to repetitive work. We'll scope a tool for it in one call.
Book a discovery call →