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Is Manual Testing Dead? Why AI Is Exposing Our Blind Spots with Maaret Pyhäjärvi

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Manage episode 522450622 series 3689462
内容由Coder提供。所有播客内容(包括剧集、图形和播客描述)均由 Coder 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

We’re in a testing crisis nobody wants to talk about.

AI is catching bugs with a single screenshot while developers still say they “can’t test” and testers cling to specs that never reflect the real world. Meanwhile, teams ship code that breaks in production and call it normal.

Enter Maaret Pyhäjärvi, Director of Consulting at CGI. A polyglot programmer with nearly three decades in software quality, she’s been challenging testing dogma long before AI arrived. She hasn’t written a manual test case in 20 years. She believes testing is a team skill, not a job title. And she sees AI as the external imagination developers have always needed.

Maaret joins host Nicky Pike to break open the identity crisis hitting testing today. They talk through developers who claim they can’t test, testers who lost their ability to explore, and the uncomfortable truth that AI might already be doing parts of the job better.
If you’re ready to rethink how testing actually works in 2025, settle in.


In this episode, you’ll learn:

  1. Why AI exposes gaps in human imagination
  2. How manual test cases block learning and discovery
  3. Why does testing become stronger when everyone owns it

Things to listen for:

(00:00) Meet Maaret Pyhäjärvi

(02:00) Testing not testers revolution

(04:30) When experts miss obvious bugs while testing

(06:50) Have we lost testing imagination?

(08:20) AI's profound impact on testing

(10:50) Why manual test cases are heresy

(13:00) The voodoo doll presence effect

(16:30) Permitting to explore freely

(18:30) Pairing developers with testing minds

(22:50) Testing for everyone, not just testers

(25:00) Serendipity and stubborn problem solving

(27:30) Quality engineers in the AI age

(29:20) AI as external imagination partner

(35:50) Contemporary exploratory testing workflow

(43:00) Teaching AI literacy and understanding

(48:30) Scaling AI testing at CGI

(52:30) Choosing tools versus building processes

(56:40) Programming literacy for data masses

(59:43) Testing's future in 2027

Resources:

Maaret Pyhäjärvi’s LinkedIn: https://www.linkedin.com/in/maaret/

CGI website: https://www.cgi.com/

  continue reading

8集单集

Artwork
icon分享
 
Manage episode 522450622 series 3689462
内容由Coder提供。所有播客内容(包括剧集、图形和播客描述)均由 Coder 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

We’re in a testing crisis nobody wants to talk about.

AI is catching bugs with a single screenshot while developers still say they “can’t test” and testers cling to specs that never reflect the real world. Meanwhile, teams ship code that breaks in production and call it normal.

Enter Maaret Pyhäjärvi, Director of Consulting at CGI. A polyglot programmer with nearly three decades in software quality, she’s been challenging testing dogma long before AI arrived. She hasn’t written a manual test case in 20 years. She believes testing is a team skill, not a job title. And she sees AI as the external imagination developers have always needed.

Maaret joins host Nicky Pike to break open the identity crisis hitting testing today. They talk through developers who claim they can’t test, testers who lost their ability to explore, and the uncomfortable truth that AI might already be doing parts of the job better.
If you’re ready to rethink how testing actually works in 2025, settle in.


In this episode, you’ll learn:

  1. Why AI exposes gaps in human imagination
  2. How manual test cases block learning and discovery
  3. Why does testing become stronger when everyone owns it

Things to listen for:

(00:00) Meet Maaret Pyhäjärvi

(02:00) Testing not testers revolution

(04:30) When experts miss obvious bugs while testing

(06:50) Have we lost testing imagination?

(08:20) AI's profound impact on testing

(10:50) Why manual test cases are heresy

(13:00) The voodoo doll presence effect

(16:30) Permitting to explore freely

(18:30) Pairing developers with testing minds

(22:50) Testing for everyone, not just testers

(25:00) Serendipity and stubborn problem solving

(27:30) Quality engineers in the AI age

(29:20) AI as external imagination partner

(35:50) Contemporary exploratory testing workflow

(43:00) Teaching AI literacy and understanding

(48:30) Scaling AI testing at CGI

(52:30) Choosing tools versus building processes

(56:40) Programming literacy for data masses

(59:43) Testing's future in 2027

Resources:

Maaret Pyhäjärvi’s LinkedIn: https://www.linkedin.com/in/maaret/

CGI website: https://www.cgi.com/

  continue reading

8集单集

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