The Story of Dwayne Richard Hipp and the Development of SQLite in 1999

He also wrote most components from scratch! An impressive feat. He was frustrated by taking the blame for the existing rdms being down each time.

Turning Debugging into a Life-Long Mission

Oxford dictionary defines debugging as 

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“the process of identifying and removing errors from computer hardware or software.“ 

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Technopedia defines debugging as

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“Debugging is the process of locating and removing coding mistakes in computer programs.“

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A process is “a series of actions or steps taken in order to achieve a particular end.“

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The tool does locate and removes coding mistakes from programs. 

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Metabob is trained on a really large number of problems and their fixes. It has a really high chance of catching what you mention in Part 1 as well as Part 2. It identifies problems at source rather than just copy-paste training.

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Sonarlint being a linter restricts it’s potential and it being rule-based restricts it’s identifying abilities. The tool in this post’s identifying abilities increases as time passes.

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Viewing your debugging checklist and the type of tools you cover in your writing, it tends towards tools that are called debuggers. Metabob does not define itself as a linter, hence the title: Turning Debugging into a Life-Long Mission.

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It has evolved over time to catch issues across twisting combinations. Unless you think that only humans can find bugs by rinsing and repeating, this tool is an evolving answer to solve the problem of debugging once and for all. From the start it’s very, very different from standard tools.

@shai.almog : Linting is more for styles. Metabob has been trained to explain and fix bugs.

How to Decide Between Flask and Django For Your Next Idea

I find your article to be grossly inaccurate. “Flask uses SQLAlchemy for the database and does not support any other DBMS.” while “Django supports all the popular relational database management systems such as MySQL, Oracle, etc“. This is simply not true. SQLAlchemy is just one orm, you can use others. As for “It follows a modular approach to craft web and mobile applications.”, Flask does not have an opinion on architecture, unless you mean extensible. And, SQLAlchemy does support MySQL etc. Shopyo does bridge the gap concerning the scalability of Flask in relation to Django.

Flask vs Django: Which Should You Learn?

Shopyo does make Flask projects scalable. It provides a consistent way to scale projects.

Flask vs Django in Real World Applications

You can also get Django advantages with projects like Shopyo: <https://github.com/shopyo/shopyo>. I love Flask but, for colossal apps Django has some nice functionalities which is included in the latter.

Abdur-Rahmaan Janhangeer