KotlinLLM is Going Open Source
JetBrains Research has open-sourced KotlinLLM, an IntelliJ IDEA plugin that adds Smart macros to Kotlin/JVM projects, allowing developers to delegate runtime logic to an LLM while generating persisten…
JetBrains Research has open-sourced KotlinLLM, an IntelliJ IDEA plugin that adds Smart macros to Kotlin/JVM projects, allowing developers to delegate runtime logic to an LLM while generating persisten…
A developer details how to build high-performance edge AI pipelines on Android using CameraX and TFLite, addressing common performance pitfalls like the 'Edge AI Wall' and advocating for hardware acce…
Nuru launched Ipek, a visual workflow builder for desktop automation that lets non-technical teams run API calls, Excel/CSV parsing, OCR, and LLM tasks locally without server-side dependencies. The JV…
A developer's guide explains why edge AI benchmarking on Android requires measuring thermal throttling, memory pressure, and accuracy loss—not just execution time—and recommends using Kotlin 2.x with …
GitHub released CodeQL 2.26.0, adding support for Kotlin 2.4.0 and a new JavaScript/TypeScript query to detect AI system prompt injection vulnerabilities. The update also improves analysis accuracy ac…
A developer explains how to overcome the 'Abstraction Tax' in Android Edge AI by using custom C++ operations via the NDK. The post details techniques like coarse-grained delegation and zero-copy data …
A developer explains how Quantization-Aware Training (QAT) enables deploying deep learning models on Android without sacrificing accuracy, addressing the 'Quantization Cliff' problem of post-training …
Google's AICore enables on-device LLMs like Gemini Nano by leveraging weight pruning and sparsity to reduce model size and power consumption. The Lottery Ticket Hypothesis guides pruning to identify c…
Google's MediaPipe Tasks and AICore are revolutionizing on-device machine learning for Android developers by abstracting low-level tensor manipulation into declarative pipeline orchestration. MediaPip…
A developer reflects on how software development has transformed over the past decade, with faster time-to-market, AI integration, and broader priorities, while asserting that core engineering princip…
PhoneCode, a new Android app, provides a local-first agentic coding environment that runs Alpine Linux natively on the device using proot inside a Kotlin container, enabling offline shell, Python 3.12…
Kreuzcrawl v0.3.0 ships with 14 language bindings, a tiered WAF-aware dispatch engine, and reduces peak streaming memory from ~2.5 GB to ~20 MB. The release also enables SSRF defense by default across…
A developer is building kUML, a new UML modeling tool that treats diagrams as code in a typed host language (Kotlin), addressing the structural flaw of model-code separation. The tool aims to enable f…
At Google I/O 2026, Google announced the shift from assistive AI to autonomous developer agents with the release of Gemini 3.5 models and Antigravity 2.0, introducing sandboxed runtimes and credential…
A developer demonstrates a technique for hot-swapping QLoRA adapters on Android devices, enabling task-specific LLM behaviors without reloading the base model. By loading a single 4-bit quantized base…
A backend engineer with six years of Java and Kotlin experience, plus recent Rust work, is learning Go in 2026 because many target teams use Go in production. The engineer finds Go's simplicity, built…
Spring ecosystem saw multiple point releases during the week of June 8, 2026, including Spring Boot 4.1.0, Spring Security 7.1.0, and Spring AI 2.0 GA, delivering bug fixes, dependency upgrades, and n…
An independent developer building a niche Catholic AI application must navigate strict Apple App Store guidelines while ensuring absolute theological accuracy, as even minor AI hallucinations can cont…
Google released LiteRT-LM, a new runtime framework that accelerates on-device inference for its Gemma 4 large language models by up to 2.2x using multi-token prediction. The framework, built on the Li…
NobodyWho released Kotlin bindings for its on-device LLM inference engine, allowing Android and JVM developers to add the library as a Gradle dependency and run models entirely on users' devices witho…