96% of developers don't fully trust AI-generated code.
But only 48% consistently verify it before committing.
That's the gap AWS CTO Werner Vogels calls verification debt.
The problem isn't code generation anymore.
It's validation.
TestSprite approaches this differently. Instead of reading a diff and making predictions, it opens your application, explores it like a user, generates test plans, and runs verification in parallel.
The new TestSprite 3.0 portal makes the entire process visible, from agent exploration to debugging failed tests.
This is what closing the loop on AI-generated code actually looks like.
For more information : https://t.co/xLG6F7uCkb
Instead of adding audio after the video is finished, you can define it while creating
HyperFrames makes video production feel more connected.
You can direct scenes, soundtrack, and effects in the same prompt.
Audio becomes part of the build, not another task waiting at the end.
Everything gets assembled in a single workflow
HyperFrames makes audio feel like part of the prompt.
Describe the mood and let the agent handle the rest.
Tracks are sourced and added automatically.
A much smoother creative workflow.
Video is better with a beat
so we made our music and sfx library with 250k+ tracks free
available via the heygen cli
describe the vibe you want and get back options that match your content
then drop straight into your @HyperFrames_ or HeyGen video
get started below โ
Video is better with a beat
so we made our music and sfx library with 250k+ tracks free
available via the heygen cli
describe the vibe you want and get back options that match your content
then drop straight into your @HyperFrames_ or HeyGen video
get started below โ
We want to make AI accessible for everyone, so we're reducing our API prices by ~50%.
Consumer AI growth is still blocked by model costs. 97% of consumer AI users will never pay. But every session still consumes tokens.
This is the math we've found every consumer AI developer is stuck with. The model pricing they're forced to use, was built for $300/mo enterprise seats, not $10/month consumer subscriptions.
So we're taking a step to solve this with reduced pricing across TTS, STT and LLMs.
Teams like Wishroll, Biblechat, Talkpal, and Luvu are already seeing 40-95% reductions in their AI costs.
Full breakdown on our blog: https://t.co/iHorIMMzk9
Pricing details in bio link.
A lot of the conversation around AI design focuses on creation.
But the real time sink is often the endless round of small editsโtweaking text, fixing details, and adapting designs for different formats.
That's why TRAE caught my attention.
Instead of starting over every time, TRAE helps streamline the editing and iteration process, making it easier to refine content and adapt designs without slowing down the workflow.
It's great to see CapCut paying attention to that part of the workflow too.
Try it now : https://t.co/KsVDpdMAJt
Remember when Anthropic accidentally leaked their source code? We dug through it to understand the state-of-the-art in AI x Memory.
How does the @AnthropicAI harness handle persistent memory? Read our detailed blog: https://t.co/uPSdPpy7My
Remember when Anthropic accidentally leaked their source code? We dug through it to understand the state-of-the-art in AI x Memory.
How does the @AnthropicAI harness handle persistent memory? Read our detailed blog: https://t.co/uPSdPpy7My
A lot of companies talk about making AI available to everyone.
Inworld is taking practical steps to make that possible.
When costs come down, more builders can experiment, launch, and scale.
That's a positive direction for the ecosystem.
We want to make AI accessible for everyone, so we're reducing our API prices by ~50%.
Consumer AI growth is still blocked by model costs. 97% of consumer AI users will never pay. But every session still consumes tokens.
This is the math we've found every consumer AI developer is stuck with. The model pricing they're forced to use, was built for $300/mo enterprise seats, not $10/month consumer subscriptions.
So we're taking a step to solve this with reduced pricing across TTS, STT and LLMs.
Teams like Wishroll, Biblechat, Talkpal, and Luvu are already seeing 40-95% reductions in their AI costs.
Full breakdown on our blog: https://t.co/iHorIMMzk9
Pricing details in bio link.