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Innhold levert av Corgibytes LLC, Andrea Goulet, and M. Scott Ford. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Corgibytes LLC, Andrea Goulet, and M. Scott Ford eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Code Reviews with Chelsea Troy

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Manage episode 430211794 series 3524318
Innhold levert av Corgibytes LLC, Andrea Goulet, and M. Scott Ford. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Corgibytes LLC, Andrea Goulet, and M. Scott Ford eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

One of the reasons why it is difficult to work with legacy code is the lack of preserving the contextual reasons for past coding choices.

Today we talk with Chelsea Troy, a Machine Learning Team Lead at Mozilla and a computer science lecturer at the University of Chicago. She tells us about the value of code review in the software-building process and why code review should not be treated solely as a mechanism for approval.

When you finish listening to the episode, visit Chelsea's website at https://chelseatroy.com.

Mentioned in this episode:

Chelsea’s website at https://chelseatroy.com

  continue reading

162 episoder

Artwork
iconDel
 
Manage episode 430211794 series 3524318
Innhold levert av Corgibytes LLC, Andrea Goulet, and M. Scott Ford. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Corgibytes LLC, Andrea Goulet, and M. Scott Ford eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

One of the reasons why it is difficult to work with legacy code is the lack of preserving the contextual reasons for past coding choices.

Today we talk with Chelsea Troy, a Machine Learning Team Lead at Mozilla and a computer science lecturer at the University of Chicago. She tells us about the value of code review in the software-building process and why code review should not be treated solely as a mechanism for approval.

When you finish listening to the episode, visit Chelsea's website at https://chelseatroy.com.

Mentioned in this episode:

Chelsea’s website at https://chelseatroy.com

  continue reading

162 episoder

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