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Introducing TRAE SOLO: the first all-in-one Context Engineer, built right into your dev workspace.🤖 SOLO thinks, plans, builds, tests, and ships complete software with deep context and the right tools. From idea to production, you only need one piece of software now.

549,165 次观看 • 1 年前 •via X (Twitter)

32 条评论

TRAE 的头像
TRAE1 年前

In this blog, we break down what’s new in SOLO, why context is essential for AI to build real software, and the opportunities it unlocks for builders of all kinds.

Trogui 彦明 的头像
Trogui 彦明1 年前

code?

GosuCoder 的头像
GosuCoder1 年前

Wanna give me a code so I can review it and do a video about it? Or is it too early for a public review?

Xiangyi Li 的头像
Xiangyi Li1 年前

man I just purchased pro. Can I have a solo code now 🥹

Samuel 的头像
Samuel1 年前

Linux when?

🇵🇱 的头像
🇵🇱1 年前

We need Linux app. Win sucks

David 的头像
David1 年前

I need SOLO code, plz @Trae_ai

Yaya Soumah 的头像
Yaya Soumah1 年前

Would like access!

LCY 的头像
LCY1 年前

Boss, please start your performance @ysyangshi

Sal 的头像
Sal1 年前

How does this compare to Cursor agent?

Rogers Buck 的头像
Rogers Buck1 年前

Although it is a profitable company, it lacks the vision of AWS.

CryptoKiddo 的头像
CryptoKiddo1 年前

I can ditch gpt right now, if I get a solo code. Please lord trae, send one this side 🙏🙏

Yang wang 的头像
Yang wang1 年前

I activated Solo, but I didn’t receive a new Solo code. Where can I find the new activation code?

River Zeyu 的头像
River Zeyu1 年前

I’m excited! Can’t wait to try!

Tsukuyomi 的头像
Tsukuyomi1 年前

so, TRAE SOLO is basically the swiss army knife of dev tools? sounds like it’s about to put a lot of engineers out of a job. let’s hope it doesn’t get too smart, or we might be looking for new hobbies.

jam_wu 的头像
jam_wu1 年前

Get 3 SOLO codes in my latest post...HURRY UP

𝚆𝚌𝚘𝚠𝚒𝚗 的头像
𝚆𝚌𝚘𝚠𝚒𝚗1 年前

code please

Wayne Fung 的头像
Wayne Fung1 年前

But I'm not quite sure how this differs from the cascade feature in existing AI IDEs? I remember Trae also had this before.🤔

花生酱 的头像
花生酱1 年前

直播间没抢到,180天的注册时长,pro用户,希望给一个邀请码

Jason Kneen 的头像
Jason Kneen1 年前

yes please would like to review

Karim C 的头像
Karim C1 年前

context engineer = exactly what's missing been building AI employees for 8 months. the hardest part isn't the code, it's maintaining context across long workflows. erika processes expenses but needs to remember company policies, previous decisions, edge cases having that built into the dev environment? game changer how does it handle context persistence between sessions?

imad chakri 的头像
imad chakri1 年前

Excited to be among the first to try SOLO — and I have to say, the experience has been nothing short of amazing!

Luke ➨ rm2.online 的头像
Luke ➨ rm2.online1 年前

Traduzido em português pra galera BR

环人 的头像
环人1 年前

Give me the code, please. Thank you.

Rogers Buck 的头像
Rogers Buck1 年前

You've stolen our time!!!!!!!!

Jonas Padilla Felipe 的头像
Jonas Padilla Felipe1 年前

hola , donde puedo conseguir el codigo?

朝歌 的头像
朝歌1 年前

Nice

ikhwanb 的头像
ikhwanb1 年前

Cool stuff

阿布 的头像
阿布1 年前

give me a code solo

warmachine 的头像
warmachine1 年前

Please give me a code :ooo

wei lu 的头像
wei lu1 年前

我想要体验

LyonCheung 的头像
LyonCheung1 年前

I'm just missing a solo code.🥲

相关视频

We've built 40+ AI agents and internal tools. The hardest part is Context Creation. AI runs playbooks and makes judgment calls for you. But without your company's context, you get slop. Context Creation means extracting the subject matter expertise and playbooks that live in people's heads, not in LLM training data, or even your tools. As forward deployed engineers (FDEs), we create context and turn it into code. We evaluate the business impact, how it aligns with the dev roadmap, and come up with creative solutions. We built The FDE Factory to replace ourselves. It drives AI adoption inside our clients' companies by running discovery sessions using prototypes to create context. Here's how it works: We put a prototype in front of a stakeholder. The stakeholder gives feedback via voice while they're using or reviewing it. Then our FDE Factory Agents builds in their expertise in minutes: > Context Agent reviews the codebase and feedback, extracts the requirements, and creates a spec > Scope Agent checks the spec against the development roadmap, validates it, and hands it off > Engineering Agent builds a new feature and wires the integration > QA Agent runs tests to prove to itself it works > PR merges, feature goes live, product updates itself in real time It's like the nontechnical stakeholder wrote the code without even knowing it. Coding agents are great at turning good development plans into code, and they're getting better at turning context into good development plans in collaboration with professional engineers. But nontechnical people are capped on what they can build without product people and engineers. The bridge that takes nontechnical people from vibe coding basic apps to building production AI tools that run on first party context is FDEs. Our new FDE Factory gives you the system to go from idea to production. Context Creation is the first and most important step in our FDE lifecycle, and we just automated it. Now clients get the right agents and tools built for them, customized to their unique business and encoded with their expertise. PS: If you're building AI agents within your company, reply "Playbook" and I'll DM you the entire FDE playbook we've run with 30+ companies. It covers finding high-impact AI use cases, building them, and deploying them across the org.

Mike Fishbein

10,171 次观看 • 3 个月前