Tag: ai
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Building a Healthy Code Review Culture: Lessons from Fast-Growth SaaS Teams
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In the world of modern software development, few processes play as significant a role in shaping product quality, team collaboration, and engineering culture as the code review. For fast-growing SaaS companies — where speed, scalability, and innovation are constant pressures — building a healthy, sustainable code review culture isn’t just a nicety. It’s a survival…
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How to Reduce Pull Request Cycle Time: 5 Proven Strategies for Faster Code Reviews
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Pull requests are the heartbeat of software collaboration. They allow developers to share work, catch bugs earlier, and maintain code quality at scale. But talk to any engineering leader at a growing SaaS or tech-enabled company, and you’ll hear the same frustration: pull requests that sit idle for days. What looks like a small delay…
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The Age of Agentic AI: The Next Leap in Intelligent Software Systems
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A New Era of Autonomy We are entering a profound shift in the world of artificial intelligence — one where machines are no longer just reactive systems crunching data and answering questions. Instead, they are becoming proactive agents, independently charting paths to desired outcomes, executing multi-step plans, interacting with digital ecosystems, and learning along the way.…
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Top 7 AI Coding Tools 2025
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AI-assisted software development uses large language models (LLMs) to help developers at every step — from writing code and generating tests to reviewing pull requests and fixing bugs. In practice, AI coding assistants can autocomplete lines of code, write whole functions from comments, and even explain complex code. For example, studies show developers solve coding tasks around…
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Avoiding the Illusion of Intelligence in AI Agents
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Let’s peel back the surface. Under the hype and swagger of modern AI, most agents crack the moment production reality hits. Why? The answer runs deeper than demo pizzazz — just like those “reasoning” models that promise more than they deliver, most AI agents collapse when complexity kicks in. The core problems are structural, not cosmetic. The…
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AI Development Tools That Actually Deliver
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AI isn’t just hype anymore — it’s deeply embedded in modern software development. From writing and reviewing code to testing, documentation, and deployment, AI tools are changing how teams ship software. A 2025 survey found that 36% of tech companies now use generative AI in engineering workflows, and the trend is only accelerating. In this post, we’ll…
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How AI Affects Developer Literacy: A Guide for CTOs, CEOs & Rapid-Growth Tech Teams
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Is AI Making You an Illiterate Developer? How CTOs, CEOs & Rapid-Growth Teams Can Get the Best, Not the Worst, From AI Let’s talk real: AI is the shiny new hire in every fast-moving dev team, and everyone — from seasoned CTOs and ambitious CEOs to the newest coder — wants to unleash its power. But here’s the flip side…
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We raised. We’re building harder.
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Excited to share that Panto has raised a pre-seed from Antler Singapore. Fundraising often invites celebration and congratulations, as it is a grueling journey. But for us, it marks the beginning of a new chapter — we can no longer hide behind the excuse of being bootstrapped. The responsibility is now ours to build boldly and responsibly,…
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Context Engineering: The Hidden Superpower Fueling Next-Gen AI
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Let’s set the scene. You’ve wrangled your first large language model (LLM) demo. The prompts are clever, the model’s output dazzles in a narrow script — but suddenly, boom, reality hits: customers want actual AI workflows, not magic tricks. The gap between flashy prompt hacks and scalable production AI systems yawns wide. Enter: context engineering. This is…