Security and regression risks.
Code generated by AI can open security holes and break features that used to be stable.
OFFER > AI DELIVERY PIPELINE
FROM REQUEST TO PRODUCTION.
Everyone has AI writing code. Almost nobody has AI delivering to production. TDIA puts AI agents into your development pipeline, with your team approving what matters.
THE PROBLEM
CODING GOT FASTER. DELIVERY DIDN'T.
Artificial intelligence sped up coding, but stayed out of the rest of the process. Without AI in the specification, the tests and the governance, the flow stays manual and the productivity gains never arrive.
A false time gain.
The speed gained in coding is eaten up by rework in reviews and tests.
No traceability.
Technical decisions get lost in AI chats, hiding what was changed and wiping out the productivity gains.
HOW IT WORKS
THE AI WORKS. YOUR TEAM DECIDES.
Between the request and the release, the AI takes the work: it specifies, codes, tests and fixes. Your team decides what gets done and what goes live.
TRADITIONAL PIPELINE
- request
- specification
- code and QA
- tests
- release
PIPELINE WITH AI
- requestyou ask
- specification
- code and QA
- testsyou validate
- releaseyou release
- time gained for new demands
THE PACKAGE · ONE COMMITMENT
pipeline running
installed in the system you already run, exactly as it is today
your business rules
built into the automatic reviews and into the independent review
security at every stage
vulnerability analysis on every change and continuous testing to keep your system stable
trained team
hands on workshop and assisted operation; the pipeline runs on without TDIA
PROOF > THE PIPELINE TDIA RUNS EVERY DAY
NOT A TREND.
It is the same pipeline that keeps monitore.ai in production, with AI planning, coding and reviewing every day. Every lesson becomes living documentation of the project, and the process gets sharper with use.
review in minutes
every delivery gets a security and correctness analysis minutes after it is ready, with no calendar to wait for
same day fix
continuous watch has already caught a real security hole that became a released fix in hours, not weeks
QUESTIONS
BEFORE YOU REACH OUT.
Can the AI release to production on its own?
No. No AI agent has that power. The specification is approved before any code and the release is a formal approval from your team.
Who reviews what the AI writes?
Another AI, from a different vendor: whoever writes never approves what they wrote. Every specification, change and review is recorded in your repository, with who asked, what changed and why.
Does our code go to the AI vendors?
The platforms are chosen with you in the first week, inside your data policies, before any code enters a tool. Everything runs in your company accounts.
Does my system need to be ready?
It needs code in a repository, automated tests in use and automated releases. If something is missing, installing those foundations is the first delivery.
Do we end up dependent on TDIA?
No. Everything stays in your repository and your accounts, with no TDIA platform in between. The team ends up trained and the pipeline keeps running without TDIA.
FOR COMPANIES
START WITH YOUR OWN SYSTEM.
Prefer to write? Send it to contato@tdia.com.br. Still at the start? Take the initial assessment. Need someone inside the team? See the Forward Deployed Engineer.