Enginears

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00:00 - Enginears Intro.

00:27 - Anish & Cortex Intro.

03:02 - The role Cortex plays.

06:32 - New engineering challenges Anish is seeing.

11:09 - Where could we be with AI in the next couple of years?

19:49 - Where is developer productivity going?

24:13 - What other points are really impactful when creating high performance & high excellence engineering teams?

30:04 - Where are Cortex going in the next 3-6 months?

31:50 - Where are Cortex looking to grow?

36:26 - Anish & Cortex Outro.

37:13 - Enginears Outro.

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00:00 - Enginears Intro.

01:05 - Russ Intro.

06:54 - LiveKit Intro.

13:45 - LiveKit today.

29:54 - Where are LiveKit's engineering challenges shifting from and to?

40:28 - Vision for LiveKit for the next 6-12 months.

45:39 - Russ & LiveKit Outro.

49:01 - Enginears Outro.

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00:00 - Enginears Intro.

01:04 - Ryan & Ramp Intro.

04:42 - Early days and ideas at Ramp.

10:04 - Failures and learnings at Ramp.

19:08 - How long did the feature development platform take to build?

20:57 - Difficult to know what technologies to use in 12 months time and leverage.

22:26 - Ramp's set of standards for the universal interface.

25:24 - 3 things Ryan would do differently if he could start at Ramp again.

29:45 - Where are Ramp using LLMs and AI?

38:06 - Where is the cost of LLMs going to be in 3-6 months time?

46:24 - One trait an engineer needs to thrive in today's technology climate?

48:50 - Ryan & Ramp Outro.

49:57 - Enginears Outro.

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00:00 - Enginears Intro.

00:43 - Ankit Intro.

01:57 - Leading AI at Inscope.

03:32 - Inscope Intro.

04:52 - AI amplify roles rather than replace them.

06:40 - What is an LLM and what is agentic architecture?

12:42 - Successful implementations of where Inscope have been able to apply them.

15:23 - Frameworks and customer implementations.

17:46 - What is Ankit noticing in the space?

20:30 - Top tips from Ankit to maintain simplistic architecture for future scalability with AI.

22:34 - Inscope's implementations and lessons.

25:39 - Where is the AI playbook going in the next 3-6 months?

27:25 - Future of Inscope.

30:25 - Ankit & Inscope Outro.

31:16 - Enginears Outro.

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00:00 - Enginears Intro.

00:48 - Gil & Merge Intro.

03:09 - Current challenges in data portability and accessibility.

04:21 - Where do Merge fit into this?

05:57 - Where are Merge's engineering challenges?

07:39 - How proactive have Merge been within the AI space and then also reactive?

10:25 - What is MCP (Model Context Protocol) and how is it being used at Merge?

15:59 - Security aspects around AI and MCP.

19:00 - Where Gil sees the future of AI infrastructure and at Merge too.

20:30 - Where will Merge be growing?

23:11 - What skills does a current engineer need to have today to succeed (outside curiosity)?

25:25 - Gil & Merge Outro.

26:00 - Enginears Outro.

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00:00 - Enginears Intro.

01:01 - Devin Intro.

01:56 - Viam Intro.

04:57 - Real life use cases where Viam is being deployed.

07:17 - What makes up the Viam platform and what engineering challenges are you seeing?

14:12 - What does the Series C funding round for Viam mean?

16:02 - Biggest learning from working at a robotics company?

18:52 - Are Viam using AI?

21:31 - Where are Viam moving towards in the rest of 2025?

24:12 - Where will Viam be hiring?

30:02 - Devin & Viam Outro.

30:56 - Enginears Outro.

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00:00 - Enginears Intro.

00:37 - PromptLayer origin.

02:24 - PromptLayer Intro.

03:52 - PromptLayer & prompt engineering today and the evolution going forward.

08:18 - Challenges building PromptLayer.

11:04 - How is Jared and PromptLayer focusing the team on what matters?

15:17 - What is Vibe coder?

17:00 - What Vibe coding lacks?

18:10 - Prompt engineers don't have to be technical.

21:30 - Taking an idea exploring it through A/B testing.

24:56 - Observability in prompting.

28:26 - How would Jared best advise someone to build an operational LLM?

30:50 - Next 12 months at PromptLayer.

33:38 - Jared & PromptLayer Outro.

34:16 - Enginears Outro.

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00:00 - Enginears Intro.

00:57 - Sam Intro.

02:00 - Alex Intro.

03:02 - Arcade Intro.

09:37 - Difficulty in breaking down the 'black magic'.

11:26 - Breakdown of calling tools and handling authentication.

13:12 - On an enterprise level.

14:24 - Differences in building AI for enterprises vs startups.

16:54 - From AI promise to ROI.

20:57 - Where are the engineering challenges going to be in 3-6 months time?

23:37 - Where the AI space will be in 3-6 months?

30:01 - Where are Arcade building and growing the team?

31:32 - Alex, Sam & Arcade Outro.

32:30 - Enginears Outro.

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00:00 - Enginears Intro.

00:35 - Michael Intro.

01:28 - Milan Intro.

02:59 - Tebi Intro.

16:09 - Engineering & product challenges at Tebi.

26:11 - How can people implement Kotlin Multiplatform and why?

35:05 - What is next for Tebi?

38:26 - Growth over the business in Amsterdam in the next 12 months.

38:55 - Michael, Milan & Tebi Outro.

39:59 - Enginears Outro.

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00:00 - Enginears Intro.

00:58 - Jon Intro.

05:02 - TRACT Intro.

07:28 - Engineering challenges at TRACT.

13:47 - Traceability challenge within AgriTech and sustainability space.

17:17 - Optimisation challenges at TRACT.

22:32 - Next 12 months at TRACT.

26:01 - Where do TRACT operate?

27:01 - Business growth at TRACT - where are the plans to grow?

31:33 - Jon & TRACT Outro.

32:55 - Enginears Outro.

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