https://www.codestory.co/episodes/s12-bonus-the-perishable-supply-chain-crisis-why-generic-erps-fail-fresh-food-logistics-and-how-ai-agents-are-transforming-error-free-order-intake-with-sid-dixit-chief-technology-officer-at-itradenetwork/

Sid Dixit is originally from central India, and came to the states for college. He is a technologist and builder at heart, serving in leadership roles across major companies. He has built and managed a fleet of satellites, built robots at Amazon, worked at Microsoft on surface tablets, and finally, at Google working on Android. Outside of tech in lives in the Bay Area with his wife and kids. He loves water sports, especially sailing. He spent 10 years in San Diego, and stumbled on the sport.

Sid’s current company started in 1999, and was acquired in 2010. A few years ago, Sid joined the company, at a time when the company was wanting to rebuild its network from the ground up - starting with a powerful index.

This is Sid’s creation story at iTradeNetwork.

Sponsors

• Unblocked

• TECH Domains

• Mezmo

• Braingrid.ai

Links

https://www.itradenetwork.com/

• https://www.linkedin.com/in/siddharthdixit/

https://codestory.co/podcast/ai-throughput-illusion-expensive-models-fail-measure-real-engineering-output-emilie-schario-head-of-product-kilo/

The AI Throughput Illusion: Why Splurging on Expensive Models Fails to Ship Code and How to Measure Real Engineering Output with Emilie Schario, Co-Founder & Head of Product & Engineering at Kilo Code

Emilie Schario grew up in New Jersey, outside of Newark, and attended college in the state. Currently, she lives in Columbus, Georgia, outside of Atlanta. She mentions she got into technology so she could easily follow her husband’s career geographically, and has much success in the industry. Outside of tech, she is married with 3 boys (all 5 and under)… so there is a lot of wrestling in her household. She admits she is often quoted staying she does three things in her life – work, parenting, and if she is lucky, attends CrossFit 3 times a week. In fact, she finds a great sense of community in that world, and brings her kids with her to cheer her on.

A year and a half ago, Emilie’s current venture was started, to build the open source orchestrator (or “harness”) for AI coding agents. Through some shuffle in the early team, Emilie joined and started in building the fastest AI coding app on the market.

This is the creation story of Kilo.

Sponsors

Unblocked
TECH Domains
Mezmo
Braingrid.ai

Links

https://kilo.ai/
https://www.linkedin.com/in/emilieschario/

.TECH is giving founders building in AI, SaaS, devtools, and Web3 the chance to apply for premium domains — complimentary for 10 years. Names like host.tech, bot.tech, dev.tech. The kind of name that makes investors lean forward.

Your competitors are paying for theirs. You could apply for yours. → startup.tech

https://codestory.co/podcast/bonus-aggregate-metrics-hide-revenue-leaks-autonomous-agentic-analytics-bhaskar-sunkara-bicycle-ai/

Bhaskar noticed that business teams were drowning in dashboards, and as such, were not sure how to take the next steps in the business. He and his team realized that what people needed was not a retroactive view, but a proactive one – something more akin to a 24×7 analyst.

https://codestory.co/podcast/the-ai-control-loop-the-enterprise-ai-accountability-moment-with-shayne-higdon-of-wallarm/

Today, we are dropping our final episode in our series The AI Control Loop, How enterprises govern the AI they’ve already deployed – sponsored by our friends at Wallarm.

Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.

In our final episode, we are joined by Shayne Higdon, Wallarm CEO, who closes the series by examining what the accountability moment demands from enterprise leaders, what a mature AI governance model needs to prove rather than promise, and what the next 12 to 24 months look like for organizations that get this right.

https://codestory.co/podcast/e27-real-time-scaling-websockets-anycable-decoupled-irina-nazarova-evil-martians/

Irina is the CEO of Evil Martians, a well known design and engineering consultancy. During the time of the company, she and the team noticed that websocket solutions don’t guarantee delivery. They decided to build a new solution, one that does guarantee delivery, through automatic recovery of messages during connection issues.

Introducing… Fuzzball.

Fuzzball is CIQ’s HPC and AI orchestration platform, a single control plane that sits above the infrastructure you already operate and routes every job to where it runs best.

• No rip-and-replace. Fuzzball layers on top of your existing PBS and Slurm schedulers, your existing parallel file systems (Lustre, GPFS, BeeGFS), and your existing workflows. Nothing migrates and nothing breaks.

• One workflow definition, every environment. The same job runs on-premises, on AWS, GCP, Azure, Oracle Cloud, or CoreWeave, unmodified. When a job needs more capacity, it moves to cloud automatically with no rewrites.

• HPC and AI, unified. Run simulations and model training on the same cluster from one control plane. When training finishes, Fuzzball provisions the inference endpoint with no manual handoff and no separate tooling.

• Data sovereignty built in. Placement policies control where regulated workloads run, so models and data stay on infrastructure you own and control for the full lifecycle.

• Built for every user, not just CLI experts. A browser-based interface handles job submission, monitoring, and results, putting high-performance compute in reach of every researcher on the team.

Get a Fuzzball demo

https://codestory.co/podcast/ai-control-loop-whats-missing-ai-security-craig-thomas-wallarm/

Today, we are dropping another episode in our series The AI Control Loop, How enterprises govern the AI they’ve already deployed – sponsored by our friends at Wallarm.

Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.

In today’s episode, Craig Thomas, Sr. Solutions Engineer at Wallarm, returns to the show to dive into why runtime behavior is the critical blind spot, and what CISOs should demand if they want to move from policy to control.

https://codestory.co/podcast/crm-texts-spam-folder-fix-john-wright-truedialog/

In the past, John and his team built a platform around email, which they sold in 2001 to a company that is now apart of Google. Post that, he started to noticed the proliferation of SMS in the messaging world, in similar patterns as to what email did – and they decided to build a platform to serve the enterprise in this capacity.

Introducing Rocky Linux from CIQ Pro (RLC Pro)

Built on Rocky Linux, with 2.75 million actively deployed instances worldwide, RLC Pro is a commercially supported Enterprise Linux subscription that treats enterprise-grade capabilities as the baseline, not a premium tier.

• LTS, bundled as standard. Every RLC Pro subscription includes Long-Term Support. Platform teams plan on 3 to5 year infrastructure horizons without forced upgrades, on your roadmap, not the upstream release calendar.

• FIPS 140-3, included. NIST-certified cryptographic modules ship standard on LTS minor versions, so regulated industries including government, defense, financial services, and healthcare can achieve validated environments without resource-intensive internal certification.

• Direct bug fixes, not a queue. When a bug affects your environment, CIQ’s engineering team fixes it and ships the patch directly, with no waiting on upstream. Bug remediation is a subscription feature, not an escalation process.

• Purpose-built variants for specialized workloads. RLC Pro Hardened ships 95%+ DISA STIG and 99% CIS compliant at first boot. RLC Pro AI delivers measurably higher inference throughput on identical hardware versus stock Ubuntu, validated across NVIDIA and AMD GPU architectures.

• Zero lock-in. Full Enterprise Linux binary compatibility means existing applications, automation playbooks, and ISV certifications carry over. The switching cost from RHEL is effectively zero.

RLC Pro is available now on AWS, Azure, and Google Cloud Marketplace.

Learn more about RLC Pro

You need Tiger Data.

Tiger Data started as an IoT platform, but when off-the-shelf databases couldn’t handle their sensor data, they built a PostgreSQL extension that could. They quickly realized they were solving a problem a lot of other people had too, and pivoted to become a full database company.

Fast Ingest, Efficient storage & Real-time Analytics at Scale

Today, Tiger Data is the fastest PostgreSQL cloud platform that natively supports full-SQL, combining the power, reliability, and ease-of-use of a relational database with the scalability typically seen in NoSQL systems. It is built on PostgreSQL and optimized for fast ingest and complex queries.

From manufacturing and oil and gas to finance, logistics, space, and telecom, Tiger Data powers mission-critical applications where data speed and reliability aren’t optional. If a company is running complex monitoring, financial risk management, or industrial data analysis, Tiger Data was built for that.

Postgres That Doesn’t Break

Data is everywhere and it’s only compounding. Whether it’s AI agents, SaaS, or the physical world, data is the substrate for all of it. Tiger Data’s bet on PostgreSQL has proven right — it’s the leading developer database — and they’re going to keep building on that.

Tiger Data is doubling down on the physical world, targeting industries like manufacturing, AI data centers, electric vehicles, energy, battery technology, nuclear fusion, and chip design. These are some of the most data-intensive operations on the planet, like Nvidia and Spacex, generating massive volumes of time-series data that Tiger Data was built to handle. In a lot of ways it is a return to their IoT roots, just at a much bigger scale.

DB’s for Agents - One Per Task, No Blast Radius

Tiger Data has a strong conviction that AI agents are the new developer, and they are building PostgreSQL for that world. Their latest product, Ghost, is a database built specifically for AI agents and represents that vision in action. The philosophy behind it is the same one that has guided them from the start: when a new wave comes, you don’t throw everything out. You take what is working and you make it better.

https://codestory.co/podcast/the-ai-control-loop-detection-is-not-enough-with-tim-ebbers-of-wallarm/

Today, we are dropping another episode in our series The AI Control Loop, How enterprises govern the AI they’ve already deployed – sponsored by our friends at Wallarm.

Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.

In his follow up appearance on the Code Story podcast, Tim Ebbers, Field CTO at Wallarm, discusses why detection alone is insufficient for AI-driven systems, what real enforcement looks like at the runtime level, and what accountability becomes possible once all four stages are in place.

https://codestory.co/podcast/e25-ahikam-kaufman-safebooks-ai/

Ahikam started to think about how automation can positively impact financial operations, specifically around managing data in the office of the CFO. After the first AI models were released, he got excited, realizing that these models would continue to get better and better, alongside operating with agency.

https://codestory.co/podcast/e24-volodymyr-vitalii-sydorenko-gearheart-part-2/

Fourteen years ago, Volodymyr got interesting in building solutions, and realized he could only get so far by himself… so he decided to build a team to deliver these solutions. Two years ago, Vitalii and Volodymyr started to consider all the of the shifts in the SDLC, and what that meant for the current business. Vitalii decided to bring his prior startup and VC experience and join the team.

https://codestory.co/podcast/the-ai-control-loop-when-ai-goes-rogue-with-craig-thomas-of-wallarm/

Today, we are dropping another episode in our series The AI Control Loop, How enterprises govern the AI they’ve already deployed – sponsored by our friends at Wallarm.

Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.

In this episode, Craig Thomas, Sr. Solutions Engineer at Wallarm, examines what rogue AI actually means in practice, where the risk materializes, and what it takes to move from detection to control.

https://codestory.co/podcast/e24-volodymyr-vitalii-sydorenko-gearheart-part-1/

Fourteen years ago, Volodymyr got interesting in building solutions, and realized he could only get so far by himself… so he decided to build a team to deliver these solutions. Two years ago, Vitalii and Volodymyr started to consider all the of the shifts in the SDLC, and what that meant for the current business. Vitalii decided to bring his prior startup and VC experience and join the team.

https://codestory.co/podcast/bonus-tim-lidman-clyde-ai/

In the days of his first startup, Tim’s solution was used by consulting firms to power client engagement. Post exit, while overseeing things at Accenture, he noticed that the whole industry was powered by Microsoft files (PowerPoint, Excel, Word, etc.) – IE, driven manually. He started to wonder if he could codify the consulting process, to remove the manual burden.

https://codestory.co/podcast/ai-discovery-isnt-just-ai-with-tim-ebbers-of-wallarm/

Today, we are dropping another episode in our series The AI Control Loop, How enterprises govern the AI they’ve already deployed – sponsored by our friends at Wallarm.

Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.

We all know that you can’t secure what you can’t see, which is why AI discovery is a first principle for AI security, but what’s really required for AI discovery? It’s more than just LLMs and agents. Today’s episode is entitled AI Discovery isn’t just AI, and joining us is Tim Ebbers, Field CTO at Wallarm. Tim and I discuss the real requirements for AI discovery, and why the connections between assets and infrastructure are part of the puzzle.

https://codestory.co/podcast/bonus-sushma-vadlamannati-zscale/

Sushma is very familiar with the startup scene in Texas. As such, she has a keen understanding of the recurring problems for startups – the local talent pool. In addition to this, she noticed the disconnect between schools, workforce opportunities, and students/workers themselves. She decided to pivot into to building this intelligence layer.

.TECH is giving founders building in AI, SaaS, devtools, and Web3 the chance to apply for premium domains — complimentary for 10 years. Names like host.tech, bot.tech, dev.tech. The kind of name that makes investors lean forward.

Your competitors are paying for theirs. You could apply for yours. → startup.tech