Reading room.
Engineering blogs & AI research
A reading room from engineering teams and AI labs: titles, short feed excerpts, and links to the originals. For my own essays, explore the writing archive.
- 1359 articles tracked
- 37 sources
- Refresh scheduled daily
Sources
How Salesforce Scaled Engineering AI Adoption Without Stifling Innovation
By Paul Constantinides, Anubhav Dhoot and Jackie Chambers de Freitas Salesforce s Hyperforce Runtime Platform (HRP) engineers were already experimenting with AI. But promising capabilities remained scattered across teams…
Using AI to Build AI: How Agentforce Engineers Scale Automation Without Sacrificing Reliability
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Fereydoon Vafaei, a Principal Software Engineer on the Agentforce team, who faced a f…
Apache Spark Resource Optimization: Lessons From Eight Million Jobs a Day
By Siddharth Sharma, Suvhrajit Basak, Kusum Dhalia, and Nabeel Qaiser. Your compute bill keeps climbing, and your Spark workloads keep succeeding. Successful execution tells you the configuration worked. It does not tell…
AI Agents Need Memory: Building Persistent Memory for Agentforce
By Roopang Chauhan, Sundar Vedula, Peng-Wen Chen, and Nikhil Bojja. In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Roopang Chauhan,…
How Deterministic Controls Turn AI Output Into Reliable Prompt Templates
By Vaibhav Raizada, Kumar Kasimala, and Ashish Gite. In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Vaibhav Raizada, a senior softwa…
Engineering Multi-Agent AI Teams That Build and Test Themselves
By Sohini Arya and Manish Kumar Jha. In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Sohini Arya, AI Delivery Lead for Marketing Clou…
How Intelligent Load Shedding Prevents Cascading Failures in Tier-0 Systems
By Ramya Subramani and Prateek Vats In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Ramya Subramani, Vice President of Engineering. R…
AI Agent Observability: Making Silent Production Failures Visible and Actionable
By Archana Kumari, Yushu Yao, and Priya Lal. In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Archana Kumari, Director of Software Eng…
How Data 360 Builds Trusted Context: The Enduring Layer for Enterprise AI
By Raveendrnathan Loganathan and Tobias Muehlbauer. How do you compile the smallest sufficient body of current, relevant, and authorized evidence for every agent turn but without loading the entire enterprise data estate…
How AI Agents Get Trusted Customer Context with Data 360 Data Graphs
In our Engineering Energizers Q A series, we explore the engineering minds behind some of Salesforce s most complex technical challenges. Today, we spotlight Alex Smith, Senior Director of AI Engineering, whose team uses…
Engineering Real-Time Mobile Personalization Across iOS, Android, React Native, and Flutter
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Sneha Singla, a director of software engineering, whose team confronted a brutal engi…
Enterprise AI Accuracy: Building a More Trustworthy RAG Application
By Sivakumar Shanmugam, Kartik Muktinutalapati, and Palani Ramanathan. Your retrieval-augmented generation (RAG) application passes its benchmarks, reaches production, and begins confidently giving customers the wrong an…
How Metadata and Runtime Telemetry Reveal Which Enterprise System Problems to Fix First
By Karishma Lalwani, Anand Vardhan, and Sanjeevani Bhardwaj. In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Karishma Lalwani, Vice P…
How Agentforce Achieves 100% Deterministic Rendering for AI Agent UX
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Abhi Rathna, Product Management Director for Agentforce, whose team tackled a fundame…
Why AI Agents Get the Right Facts but the Wrong Answer—and How GraphRAG Helps
By Sivakumar Shanmugam and Indrojit Deb.An AI agent rejects a valid customer return. You check its citation: the policy really does say 90 days. You check the purchase: it falls outside that window. Both facts are correc…
How AI-Powered Attacks Led Salesforce to Reinvent Hyperscale DDoS Defense
In our Engineering Energizers Q A series, we spotlight the engineering leaders driving innovation across Salesforce. Today, we meet Herman Kwong, EVP of Software Engineering, whose team developed DREAM (DDoS Response and…
From Prediction to Action: How to Turn AI Outputs Into Decisions
By Ali Nahvi, Akshit Behera, Yvonne Fan, and Melissa Ramey. Your models are accurate. Your pipelines are healthy. Your dashboards are working. And your system is still failing its users. Imagine thousands of dashboards a…
Why AI-Generated Code Is Easy but Engineering Trust Is Hard
Imagine an AI coding agent generating a large pull request filled with AI-generated code. Everything looks exactly as it should: Later, your team discovers the agent quietly misinterpreted an ambiguous requirement near t…
How to Evaluate Production AI Agents: Measure System Outcomes, Not Conversations
Imagine deploying a production AI agent that confidently tells a customer, I have processed your refund. The customer leaves satisfied. The conversation looks perfect. Your monitoring shows no obvious errors. Then someon…
How Agentforce-Powered AI Security Workflows Accelerate Incident Response
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Zac Taylor, a software engineering architect on the Trusted Services team. Zac and hi…
How Standardizing Product Telemetry Reduced Time to Insight by 97%
By Rounak Mehta, Adrian Eng, Sandeep Singh, and Kishore Kanchapalli. In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Adrian Eng, Dire…
How Salesforce Eliminated Single-Region Risk and Reduced Downtime Blast Radius at 4B Metrics/Min
By Priyanka Singla, Aaron Stockton, and Vincent Poon In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Priyanka Singla, Senior Software…
Removing the Security Barrier to Agentforce Adoption
By Pallavi Rajan Udmalpet and Janhavi Deshpande. As enterprises accelerate secure AI adoption with Agentforce and Data 360, organizations across healthcare, banking, government, and critical infrastructure face a soberin…
How Salesforce Built an Agentic Engineering Enablement Strategy for Thousands of Software Engineers
Giving thousands of software engineers access to agentic tooling is straightforward. Helping them fundamentally change how they build software is another matter entirely; one every engineering organization eventually run…
Building Reliable Production AI with Durable Workflows
Building an AI prototype has never been easier. You send a prompt to a model, receive a response, and present the result to a user. As long as each request is independent, the interaction is straightforward to reason abo…
How AI Rebuilt Salesforce’s Decades-Old Localization Pipeline
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Teresa Marshall, Vice President of Localization. Teresa s team delivers every Salesfo…
How AI Reduced Customer Bug Triage from Nearly a Year to Less Than a Week
By Priya Sethuraman, Abhishek Ghose, Lovish Agarwal, and Aditya Pandey. In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Priya Sethura…
Closing the Loop: How to Build Self-Improving AI Systems with Automated Feedback Loops
After six cycles, the system ran out of things to fix. That sentence probably raises more questions than it answers. Here is how we got there. The first skill PR took three days to merge. Twelve comments on structure. Si…
Using Claude to Build an AI Knowledge Base in 30 Minutes
Ever had an experience onboarding someone, where you had to provide them a handful of documents, all authored at different times, and in various states of completeness? Ever had your AI agent burn cycles pulling down tha…
How Informatica Reduced Data Integration Pipeline Development from Days to Minutes
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Nancy Chen, Vice President of Engineering at Informatica. Nancy leads the development…
Building Enterprise AI Agents That Are Both Autonomous and Reliable
While red-teaming an early refund agent early last year, one of our engineers typed a deliberately absurd line: my very valid and very verified email. The agent, running on a frontier LLM, accepted it as proof of identit…
How AI Learned to Investigate Mobile Build Failures Like an Experienced Support Engineer
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Archana Indran, Senior Engineering Manager for Mobile CI/CD. Archana s team built Ana…
Inside Unified Planner: The AI Brain Behind Agentforce
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Gaurav Aggarwal, a Software Engineering Architect. Gaurav developed the Unified Plann…
How Agentforce Prevents Language Drift in 600K Daily Multilingual AI Workflows
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Ishween Kaur, Senior Software Engineer on the Agentforce Agentic Reasoning team. As A…
Maintaining Code Quality at Agent Speed: 7 Patterns for Agentic Engineering
By Amit Sharma and Antonio Garrote.How do you know whether code generated at agent speed can be trusted? That question is fast becoming one of the most important in software engineering and it deserves a serious answer.…
The Agent Coding Maturity Curve: 9 Stages from Code Generation to Trusted Automation
Most developers begin with the same rush of excitement: the agent writes code, fixes bugs, explains unfamiliar systems, generates tests, and turns vague intent into something that looks runnable. For a moment, it feels l…
How Data 360 Segmentation Processes a Quadrillion Records Across Arbitrary Customer Data Models
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Deepak Pushpakar, Software Engineering Architect for Segmentation and Activation with…
How MuleSoft Is Raising the Trust Bar for AI-Generated Code
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Melissa Cazalet, Senior Vice President of Software Engineering at MuleSoft, whose tea…
How to Build Reliable AI Agents: 5 Engineering Patterns from a Production System
By Tuhin Kanti Sharma and Chirag Ramesh Hegde. If you ve built an AI agent that works perfectly in demos but becomes unpredictable in production, you ve probably already discovered that reliability is much harder than ca…
Scaling Zero Copy from 1 Trillion to 120 Trillion Rows with File Federation
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Srini Krishnamoorthy, Vice President of Engineering for Data 360. Srini leads the evo…
How Engineering 360 Unified Operations at Scale and Reached 80% Adoption
By Shiva Nimmagadda, Arun Lakshmi Narayanan, and Arun Gangavarapu. Salesforce engineering teams encountered a significant operational hurdle as the organization scaled. Critical data lived across dozens of fragmented das…
How Agentforce Conversation Client Accelerated Accessibility Remediation by 5x Using AI-Driven Workflows
By Prasanna Krishna Sanagala, Ronak Shah, Sandeep Tailor, and Mani Manjari Velnati. In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight P…
Agentforce’s Agent Script: Building Deterministic Control for Enterprise AI Workflows
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Elijah Ben Izzy, Software Engineering Architect at Salesforce. Elijah is building Age…
Building an Enterprise Agent Platform: Enforcing Identity, Data, and API Governance
While enterprises deploy AI agents at a rapid pace, their governance strategies often remain fragmented. Most organizations enforce identity, data access, and API security in separate silos, which creates dangerous gaps…
Agent Fabric Context Catalog and the Future of AI Governance
Modern agents no longer execute within predictable application boundaries. They invoke APIs dynamically, retrieve enterprise context through MCP servers, orchestrate workflows across multiple platforms and interact with…
How Salesforce Built an AI Security Agent for Autonomous Threat Triage
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Mor Levi, Vice President of Detection, Analysis and Response at Salesforce, who leads…
Creating a Multi-Tenant AI Agent Platform Handling 7K+ Sessions Without Cross-Team Interference
In our Engineering Energizers Q A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Priyanka Saraf, Senior Software Engineer on the Agentforce Foundations team. Priyanka…