The Broadcast Is Not the Test. It Is the Result of the Test.
By Abhishek Hegde

A best practice in any given successful agile development project is the use of continuous integration (CI). CI ensures automatic execution of various test harnesses when developers commit their work (source code) to version control systems.
However, in order to ensure high quality product and to incorporate more complex and realistic scenarios, Build and Deploy pipeline was envisaged (Refer Figure 1).
The CI pipeline consists of Build Phase and Deploy Phase. It encompasses the entire life cycle of the product from configuring infrastructure- web servers, databases, application servers, messaging brokers, cloud instances, mobile devices; deploying package binaries into different staged infrastructures; and other aspects in addition to the product itself. We have some noted benefits gained from incorporating CI pipeline.
By Sai Prasad M
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By Abhishek Hegde

By Ivan Pinto
Most conversations about AI delivery focus on what the delivery partner brings to the engagement. The methodology, the toolchain, the engineering practice, the governance standards. We have written elsewhere about what Robosoft brings, and about the standard we have built ARIA around.

By Srinidhi Rao
Most organizations evaluating AI delivery partners are asking the wrong question. They tend to ask which tools a firm uses, when the question that actually matters is what standard the firm is operating to.
A tool is a productivity bump. A standard is what shapes whether the work compounds or stays flat. It is, in our experience, much of why AI projects fail to move past the productivity bump. Firms producing genuinely different outcomes with AI today are doing so because the same operating rules run through every decision, every gate and every phase of the work.
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