Talk comments

Matt Brunt at 18:02 on 13 Apr 2019

Important topic and incredibly important points made

The tone of the talk was too far over the passionate -> angry line too often for me and felt too ranty and attacking.

I can see why parts are angry, but other parts felt needlessly so.

A tone shift in the talk a little would improve it for me

Mike Lehan at 16:52 on 13 Apr 2019

Clear info well presented. Not the most exciting topic but still an important one as most developers can now expect to find themselves consuming or producing APIs (if not both) and there isn't always the widest knowledge of best practice in this area. If you didn't learn something here you've got an unbelievably good API!

An interesting talk although, for me, the pace could have been a little quicker for a talk toward the end of the day.
More interaction with the audience may have focused attention?

Mike Lehan at 16:49 on 13 Apr 2019

Entertaining and educational, presented with a fun attitude and a focus on avoiding what are clearly easy pitfalls for even experienced developers. If you didn't make it, check the slides and PHP cheatsheet website to boost your own learning!

Mike Lehan at 16:47 on 13 Apr 2019

Got the concepts across well and Larry is a very animated and enthusiastic speaker, so kept us engaged too. I'd potentially add information on alternatives to storing data on file systems, as this can vary a lot between clouds - I'm unsure how platform handles it but user content can't really go to disk with AWS, so object stores (eg S3) are preferred

Thank you for your talk, it gave me a wider perspective on the role of the tester. One piece of feedback: although you used sign posting for the first half of your talk, it was clear where you were going towards the end.

Mike Lehan at 16:43 on 13 Apr 2019

Lots of quality info and with a lot to cover it was presented well. The slides had good info and the code walkthroughs were helpful. A few slides were presented without explaining (eg the tensor playground animation) and it would have been good for the bit on deep learning to be more than just "also this is deep learning". Props for putting the example code in GitHub

Mike Lehan at 16:41 on 13 Apr 2019

Interesting talk presented with enthusiasm and helpful live demos. Good to include the examples of the Doctrine-style repository code. The question at the end to ask people for their own suggestions was good - it might be positive to have a few usage ideas to go over in more detail if people aren't that talkative

Good over view and some useful take a ways. Delivery felt a bit flat and I think page 103 with inconsitency for start_date and end-date with the end date written with an equal sign after the year.

Aware of quite a bit but some useful stuff. Some really good and engaging examples.