Perplexity Boosts Engineering Speed with AI Coding Tools

 👋 Hey there, Welcome back: Perplexity’s team is using AI tools to build things much faster. What used to take 3–4 days now takes just a few hours.

Instead of jumping between websites to find answers, their engineers just ask Perplexity and get everything in one place. Even non-coders on the team use AI to get work done quicker.

📦 In Today’s AI Drop

• Perplexity’s Engineers use AI coding tools, that’s saving tons of time

• AWS enters the AI Agent race with new marketplace

• xAI’s Grok wins U.S. Defense Dept contract

• GHD launches AI hair-care assistant

• Trending 3 AI tools & 2 Ai job opportunities

• Prompt for deep market research

🤯 Today in AI

• xAI’s Grok wins U.S. Defense Dept contract: Elon Musk’s xAI secured nearly $200 million in a Grok for Government deal to deploy AI chatbots across federal agencies, focusing on national security, healthcare, and science, marking a major move alongside OpenAI, Anthropic, and Google. Read more

• GHD launches AI hair-care assistant: Beauty brand GHD introduced CurlFinder, an AI-powered quiz that recommends products based on hair type and style goals, mimicking a salon consultation experience. Read more

• AWS enters the AI Agent race with new marketplace: AWS is teaming up with Anthropic to launch an AI Agent Marketplace. Startups can list their AI agents, and big companies can use them directly. Read More

🚀 Today’s Trending AI Tools

• Clickup’s Brain Max - To help manage tasks, docs, and goals with context-aware suggestions and automation

• Runway ML - Offering video generation, editing, and real-time tools for filmmakers and content creators

• BioEmu - Microsoft’s open AI for predicting protein states and energies

🧰 AI Job Opportunities

• Philips: Sr. Data and AI Engineer

• SFK: AI developer

⏱️ Perplexity’s Engineers use AI coding tools, that’s Saving Tons of Time

Perplexity engineers use their own tool in daily development work for searching for solutions, reviewing internal documentation, getting code suggestions, brainstorming architecture designs, and even for debugging.

Now, instead of searching across Stack Overflow, GitHub, and 10 browser tabs, engineers just open a Perplexity thread and start asking questions.

🧠 Real examples shared by Perplexity’s team

Let’s go deeper.

1. Rewriting an API Layer

One engineer rebuilt a large internal API layer using Perplexity to understand the old system, gather best practices, and draft a cleaner version all in one day.

2. Writing Better Tests, Faster

Developers are using it to write test cases by simply asking, ‘How should I test this input?, and getting example tests instantly.

They’re speeding up real engineering work at scale.

🔁 Why does it work so well?

What makes this workflow so well is the feedback loop.

The engineers using Perplexity are the same people building it. Every time they hit a limitation, they push improvements and this creates a fast loop.

That’s how Perplexity keeps improving its product because its core users are also its creators. This is something most companies don’t have.

📊 Perplexity Statistics

• In May 2025, Perplexity handled 780 million queries, which is about 30 million every day. That’s a 20% from the previous month.

• The platform now has 22 million active users and expects to make $100 million a year in recurring revenue(ARR).

• Perplexity’s CEO recently said the company is valued at $14 billion, after raising $500 million in funding in June.

Perplexity shows that AI isn’t just a trend. Teams using AI from early ideas to final product are working faster, staying energized, and coming up with better solutions.

🧱 Key Takeaway For You

Dont use AI only to write code. Use it to understand code, debug, learn faster, or even write tests and documentation.

Try to stay focused in one place (like your IDE). If AI tools are built into your code editor, you don’t need to keep jumping between browser tabs or documentation.

Reflect on what works and what doesn’t. Use AI tools to review your mistakes, learn from them, and get better over time. It's like creating your own system to keep improving your skills

Act as an experienced market researcher.

Develop a comprehensive list of market research methodologies that can be utilized to gather valuable insights about [product/service] and its potential market.

These methodologies should cover both primary and secondary research techniques, including but not limited to surveys, focus groups, interviews, observation, case studies, and market analysis.

Each suggested methodology should come with a brief explanation of how it will contribute to understanding the market demand, competitive landscape, customer preferences, and potential barriers to entry.

Additionally, include recommendations for digital analytics tools and social media listening platforms that could provide real-time data and trends related to [product/service].

Ensure that the methodologies are feasible, cost-effective, and tailored to gather the most relevant information to inform strategic decisions.