AI/ML Resources

Beyond Django and Flask: How FastAPI Became Python's Fastest-Growing Framework for Production APIs

How the async-first framework captured 40% of new Python developers in 2025 and why enterprise teams are making the switch in early 2026

March 9, 2026

by Dinesh Elumalai

CORE

· 3,992 Views

Square, SumUp, Shopify: Data Streaming for Real-Time Point-of-Sale (POS)

POS systems are transforming into real-time, AI-driven platforms, fueled by mobile payments, Kafka, and Flink to empower every retail merchant.

March 9, 2026

by Kai Wähner

CORE

· 3,266 Views

Best Practices to Make Your Data AI-Ready

In this article, I share best practices for building a high-quality data management framework to support AI initiatives.

March 9, 2026

by Mykhailo Kopyl

· 4,623 Views · 1 Like

Software Testing in LLMs: The Shift Towards Autonomous Testing

Software testing is undergoing its biggest transformation in decades in the LLM era. Intelligent testing and self-verifying agents redefine testing across SDLC pipelines.

March 6, 2026

by Kathiresan Jayabalan

· 3,025 Views

Failure Handling in AI Pipelines: Designing Retries Without Creating Chaos

AI systems require disciplined retry strategies. By applying bounded backoff policies, teams can prevent retry storms and control cost amplification.

March 6, 2026

by Aditya Gupta

· 2,529 Views

Reducing Daily PM Overhead With a Chat-Based AI Agent

An experiment in reducing project management overhead by removing small but costly routines around Jira updates, status clarifications, and daily reporting.

March 6, 2026

by Evgeniy Tolstykh

· 2,124 Views

The A3 Handoff Canvas

The A3 Handoff Canvas helps teams use AI responsibly by defining task splits, inputs, outputs, validation, failure rules, and records for repeatable workflows.

March 6, 2026

by Stefan Wolpers

CORE

· 2,334 Views

Deterministic AI With OpenSymbolicAI

An agentic solution that follows the PlanAndExecute approach can leverage the power of LLMs while executing deterministic code to provide reliable results.

March 6, 2026

by Karthik Viswanathan

· 2,357 Views

42% of AI Projects Collapse in 2025 — The Battle-Tested Framework Wall Street Uses

Adopt the Three Lines of Defence (3LoD) framework: a banking-proven risk management system with three oversight layers. Result: 22% faster AI deployment + fewer failures.

March 5, 2026

by Nidhi Sharma

· 1,394 Views · 3 Likes

Consensus in Distributed Systems: Understanding the Raft Algorithm

Raft consensus simplifies reliability in distributed systems; essential for software engineers and architects making fault‑tolerant design decisions.

March 5, 2026

by Ammar Husain

CORE

· 1,854 Views · 1 Like

Why “End-to-End” AI Will Always Need Deterministic Guardrails

End-to-end AI is probabilistic and prone to hallucinating unsafe physical actions. True safety requires wrapping these models in deterministic guardrails.

March 5, 2026

by Nishant Bhanot

· 1,507 Views · 2 Likes

From Rational Agents to LLM Agents

Learn how AI agents act rationally with AIMA’s theory and AIA’s practical architecture, balancing autonomy, feedback, and reliable decision-making.

March 5, 2026

by Trần Ngọc Minh

· 948 Views · 1 Like

Clean Code in the Age of Copilot: Why Semantics Matter More Than Ever

Your codebase is essentially a prompt: messy abstractions and "God Classes" pollute the context window, causing AI models to hallucinate or generate bugs.

March 5, 2026

by Nikita Kothari

· 1,756 Views · 3 Likes

Token-Efficient APIs for the Agentic Era

TOON and TRON reduce token consumption by removing JSON's repetitive keys and delimiters, with TOON for tabular data and TRON for schema-stable agent flows.

March 4, 2026

by Vineet Bhatkoti

· 2,211 Views · 1 Like

Building an Accessibility-First AI Assistant With IBM Granite and RAG

Learn how to build a disability-aware AI assistant using IBM Granite LLM and retrieval-augmented generation with FastAPI backend and adaptive response generation.

March 4, 2026

by Lohitaksha Patary

· 1,914 Views

Prompt Engineering Is Dead. Long Live DSPy.

Manual prompt engineering is dead; it is brittle, unscalable, and reliant on "magic strings." DSPy replaces this by treating prompts as optimizable parameters.

March 4, 2026

by Nikita Kothari

· 3,813 Views

Implementing Decentralized Data Architecture on Google BigQuery: From Data Mesh to AI Excellence

Traditional centralized data lakes don’t scale for AI. A Data Mesh not only decentralizes data ownership by domain but also enforces federated governance.

March 3, 2026

by Jubin Abhishek Soni

CORE

· 2,657 Views · 1 Like

How Power Automate Helps Analysts Send Alert Emails Faster and How AI Builder Takes It to the Next Level

Power Automate automates data-driven alert emails, eliminating manual dashboard checks. With AI Builder, alerts become intelligent and provides proactive decision-making.

March 3, 2026

by Harsh Patel

· 2,369 Views