feat: add llms.txt

[hemantz-singh]

# Infraspec

> Infraspec delivers serious AI engineering for growing teams. Forward deployed engineers embedded in your team, shipping working software from week one.


## Core Offerings
- [AI Native Software Delivery](http://localhost:1313/ai-native-software-delivery/): We deliver working software fast, and the quality holds. The reason is harness engineering, the scaffolding most teams defer, which we treat as first-class work, not an afterthought.
- [Agentic AI](http://localhost:1313/agentic-ai/): We build agents that go into production and stay there. End-to-end design, deployment and ongoing upkeep, with human oversight wherever automation shouldn't have the final word.
- [Platform Engineering](http://localhost:1313/platform-engineering/): We build the engineering foundations that let your teams move fast today and scale without pain tomorrow. Cloud-native, AI-ready and designed not to get in the way.

## Core Pages
- [Blog Posts](http://localhost:1313/blog/): Technical engineering insights, deep dives, and system architecture articles.
- [Team](http://localhost:1313/team/): The people behind Infraspec.
- [Careers](http://localhost:1313/careers/): Open engineering roles and opportunities at Infraspec.

## Recent Engineering Posts
- [Taking Back Control: Observability as Reclaiming Agency](http://localhost:1313/blog/taking-back-control/): The story of every growing system is fundamentally a story about losing and regaining control.

- [Pragmatism Over Perfection](http://localhost:1313/blog/pragmatism-over-perfection/): We as Engineers often chase perfection. It fuels our curiosity, sharpens our skills, and makes us feel good about the things we build. But at the same time, it can be a double-edged sword, sometimes slowing us down or distracting us from what actually matters: delivering business value. That’s where pragmatism comes in.

- [Apache Spark: Unleashing Big Data with RDDs, DataFrames and Beyond.](http://localhost:1313/blog/apache-spark-unleashing-big-data-with-rdds-dataframes-and-beyond/): My Journey with Spark Before I knew Spark, I mostly used only Pandas and NumPy for data processing. They worked well for small datasets, and I never really had any issues—until I had to process a really large dataset—millions of rows. The processing slowed down, and eventually, I ran into an out of memory error. I tried splitting the data into chunks and tweaking my code, but nothing really worked well.

- [Building Scalable Multi-Tenant Systems with AWS CDK: An IAC Approach](http://localhost:1313/blog/multi-tenant-system-with-aws-cdk/): In this blog, I will be taking you on a journey of building the scalable and efficient IAC solution that we build for our multi-tenant system. Here we are not going to debate why we chose the CDK; that will be another discussion that can be highlighted in another blog. Instead, how we approached solving using AWS CDK is going to be discussed in this blog. Even if you are not very familiar with CDK, this blog can help to build a mental model of how we can think while writing the code for the infrastructure of such a complex system.

- [Efficient Data Migration: From Hive Metastore to Unity Catalog in Databricks](http://localhost:1313/blog/hive-to-unity-catalog-data-migration-databricks/):  TL;DR We had to migrate extensive data from Hive Metastore to Unity Catalog in a regulated large-scale enterprise environment. This task required precise planning, synchronization across teams, and expertise to ensure zero downtime and no data loss. By removing outdated jobs, cutting costs, and streamlining data workflows, we optimized the data infrastructure and achieved a robust governance framework. This migration gave us a deep understanding of complex data systems and the nuances of managing dependencies, aligning stakeholders, and ensuring regulatory compliance.


## Links
- [Contact](mailto:[email protected]): Direct company query address.
- [GitHub](https://github.com/infraspecdev): Code repositories and public tooling.
- [Twitter](https://twitter.com/infraspecdev): Engineering updates and announcements.
- [LinkedIn](https://linkedin.com/company/infraspecdev): Company profile and team updates.

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[vjdhama]

why this change?

[hemantz-singh]

It's to cap the auto-generated summary at the intro paragraph.

Before:

"We as Engineers often chase perfection... That's where pragmatism comes in.
This is a story about that lesson being reinforced for me while working on a simple task: KYC Image Tagging."

After:

"We as Engineers often chase perfection... That's where pragmatism comes in."