A developer explains how the Transformer architecture, introduced by Google in 2017, replaced recurrent neural networks and LSTMs as the dominant paradigm in AI. The architecture processes all tokens …
An engineer explains how LLM function calling works under the hood, contrasting plain text, JSON mode, and schema-constrained function calling. The post details how constrained decoding enforces schem…
AI is transforming software testing, shifting the SDET role from manually writing every test to designing, guiding, and validating intelligent testing systems. An engineer recommends seven AI tools fo…
A developer tested a coding agent on a 36k-file Rails monolith (GitLab) by asking it to audit all dependents of MergeRequest. Without a codebase map, the agent found only 2 of 16 actual dependents in …
A developer built a fitness workout planner agent using HazelJS, a framework for multi-agent AI systems. The planner uses five specialized agents for intake, exercise search, workout planning, progres…
A security engineer warns that AI agents are often given excessive permissions, creating a critical security gap. The engineer proposes six rules to mitigate risks, including granting minimal commands…
A security researcher developed mcpscan, a static scanner for MCP servers and Claude Code projects, after discovering tool poisoning attacks that hide malicious instructions in Unicode zero-width char…
A developer built TrustGuard AI, a multi-agent system that uses sequential reasoning to analyze privacy policies, detect dark patterns, and benchmark sites against major platforms. The system, develop…
A developer presents a hybrid edge AI architecture for mobile applications that performs intent classification locally using a lightweight machine learning model, reserving cloud-based LLMs for ambigu…
An engineer with a background in ADAS and autonomous vehicles argues that AI is not magic but a structured evidence-gathering system. Drawing parallels between building reliable LLM applications and t…
A developer discovered that AI coding assistants like Cursor, Claude Code, and Copilot frequently generate password hashing code using weak algorithms such as MD5 or SHA-1, which are fast and lack sal…
A MedTech principal architect discovered that the company's AI compliance monitoring system silently filters out anomalies with confidence below 70% from its daily summary reports, potentially hiding …
A developer argues that 88% of AI agent pilots fail not due to model limitations but because of an infrastructure readiness gap, specifically the lack of a unified control plane for governance, observ…
A software and data engineer, Usman, introduces himself and his intention to post regularly about his projects, including a small game for his partner and a sales lead enrichment pipeline. He criticiz…
An engineer warns that n8n RAG pipelines leak sensitive data to third-party LLM providers like OpenAI in plain text, despite the common belief that RAG keeps data secure in a vector database. The post…
A developer built purefetch, a system-info fetcher in Rust with zero dependencies from crates.io, using only std and raw Linux syscalls. The tool produces a ~484 KiB binary and supports four architect…
CAI.com launched a custodial email service with a multi-chain stablecoin wallet, credential vault, and an MCP-installable agent API. The platform provides a free @cai.com email address and enables age…
A developer discovered that environmental factors, such as room temperature, can cause performance bottlenecks in AI model training. After moving their laptop to a cooler room, training speed improved…
A developer outlines best practices for building agentic workflows in Python, defining an agent as a loop where the model decides which tool to call next until completion. The post provides a manual l…
A developer outlines best practices for building reliable LLM applications in Java, using Anthropic's Claude and the anthropic-java SDK. Key practices include treating model output as a hypothesis, us…