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AI-First Project Management for Developers | Alex Gavrilescu on Backlog.md

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Manage episode 513556037 series 3585084
Contenido proporcionado por Tessl. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Tessl o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Even the smartest AI agent starts as a blank slate.
Alexandru Gavrilescu, creator of Backlog.md, and Simon Maple explore how to give AI the right context and specifications so it can deliver like a human teammate, and sometimes faster.
On the docket:
• why humans still matter for review, but AI can accelerate work beyond traditional sprints
• the rise of persistent agents that proactively manage tasks and subagents
• preparing for a world of disposable, single-use software and continuous development loops
• why current Agile metrics and bandwidth estimates need a major rethink
AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.
Connect with us here:
1. Alexandru Gavrilescu- https://www.linkedin.com/in/alexandrugavrilescu/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/

Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

  continue reading

Capíttulos

1. Trailer (00:00:00)

2. Introduction (00:00:54)

3. Challenges and Solutions in AI-Driven Development (00:02:25)

4. Demo of Backlog MD and Its Features (00:09:44)

5. Leveraging AI for Efficient Task Management (00:22:50)

6. Leveraging AI for Efficient Task Management (00:24:24)

7. AI's Role in Agile and Software Development (00:27:59)

8. Future of AI in Software Development (00:42:16)

83 episodios

Artwork
iconCompartir
 
Manage episode 513556037 series 3585084
Contenido proporcionado por Tessl. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Tessl o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Even the smartest AI agent starts as a blank slate.
Alexandru Gavrilescu, creator of Backlog.md, and Simon Maple explore how to give AI the right context and specifications so it can deliver like a human teammate, and sometimes faster.
On the docket:
• why humans still matter for review, but AI can accelerate work beyond traditional sprints
• the rise of persistent agents that proactively manage tasks and subagents
• preparing for a world of disposable, single-use software and continuous development loops
• why current Agile metrics and bandwidth estimates need a major rethink
AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.
Connect with us here:
1. Alexandru Gavrilescu- https://www.linkedin.com/in/alexandrugavrilescu/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/

Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

  continue reading

Capíttulos

1. Trailer (00:00:00)

2. Introduction (00:00:54)

3. Challenges and Solutions in AI-Driven Development (00:02:25)

4. Demo of Backlog MD and Its Features (00:09:44)

5. Leveraging AI for Efficient Task Management (00:22:50)

6. Leveraging AI for Efficient Task Management (00:24:24)

7. AI's Role in Agile and Software Development (00:27:59)

8. Future of AI in Software Development (00:42:16)

83 episodios

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