AI engineering company · India
Understand code.
Build with AI.
We help software teams and engineers use AI the disciplined way. Faster shipping, without the broken systems.
The problem / 01
AI made writing code faster. It moved the cost somewhere else.
Review, testing, security and operations absorb what generation saves. Engineers are shipping more code than they have read.
98%
more pull requests merged by teams with high AI adoption — while PR review time rose 91%.
Faros AI · TODO: source URL
TODO: the DORA 2025 claim arrived truncated ("AI ado nstability"). Needs the full finding and its number.
DORA 2025 · TODO: source URL
46%
of developers say they distrust the accuracy of AI output.
Stack Overflow Developer Survey 2025 · TODO: source URL
Speed without discipline just moves the pain.
What we're building / 02
Four parts that feed each other.
What we learn in public becomes what we teach. What we teach becomes what we do inside teams. What we hit inside teams becomes what we build.
Insights
What we find out about AI tools, models and techniques, published as we find it.
Learn
Short practical modules for engineers. First one: reviewing AI-written code.
For Teams
AI adoption work inside software companies, measured against your own baseline.
Products & R&D
Developer tools for the engineering problems nobody has solved yet.
How we work / 03
Audit, sprint, measure.
- 01
Audit
We take a baseline before we change anything. Cycle time, review time, coverage, defects.
- 02
Sprint
We work inside one team and change how AI is used in the day-to-day loop.
- 03
Measure
We read the same numbers again and report what moved, including what did not.
Our principles
Measure, not hype
A change counts when it moves a number we agreed to watch.
Review everything AI writes
Generated code is a draft until a person has understood it.
Automate the checks
If a rule matters, it runs in CI, not in someone’s memory.
Open by default
The tools and checks we build are public unless there is a reason not to be.
Build log / 04
Now building.
TODO: add milestones to src/data/buildlog.ts. Nothing is shown here until they are real.
Follow the build / 05
We publish as we go.
- YouTubeLong-form walkthroughs of AI tools, models and the techniques behind them.
- LinkedInWhat we are learning about AI adoption inside engineering teams.
- XShort notes and findings as we hit them.
- InstagramVisual explainers, one idea at a time.
- FacebookAnnouncements and the longer write-ups.
- GitHubThe tools and checks we build, open by default.