Software Development at Program Tom LTD
Place for coding, programming, development and software in general.
In 2026, artificial intelligence AI isn’t an emerging trend—it’s the dominant force evolve reality. Dismissing it now isn’t caution; it’s self-sabotage. The dinosaurs ruled for over 160 million years until they couldn’t adapt to a cataclysmic shift. Today, the asteroid is AI, and it’s already made impact. Companies that once dominated—think legacy media giants or…
In the age of advanced AI coding agents, we’ve built the ultimate production line for software, but, quality is questionable. Robots churn out code at speeds that would have seemed impossible just a few years ago. Entire modules, tests, and refactors appear in seconds. The marginal cost of writing code has collapsed toward zero. Yet…
agent.md (or similar files like system.md, instructions.md, policy.md) are becoming the externalized, version-controlled equivalent of what used to live entirely in a hidden system /admin prompt. What’s changed conceptually Historically: System / admin prompts were: Hidden Hard-coded Difficult to version, diff, or audit They lived “inside” the model invocation. Anyone that have programmed agains a…
This guide walks you through integrating the xAI Grok API into a Spring Boot application. The Grok API is a RESTful service compatible with OpenAI’s API structure, making it straightforward to use for chat completions, text generation, and more. It powers models like grok-beta, grok-2-latest, and advanced ones like grok-3 or grok-4 (availability depends on…
To Integrate AI into an existing system with specific requirements and logic, especially when moving from traditional tools to more advanced technologies like Large Language Models (LLMs) or other AI tools, requires a systematic and gradual approach. Here’s a high-level roadmap for Progresively integrating AI into your system: 1. Understand the Existing System Document Requirements:…
AI Agent is not something new or revolutionally – it is LLM combined with with sub-modules that execute the recommendations of it. The MCP (Model Context Protocol) and agent-style LLM workflows (like those in LangChain, LlamaIndex, CrewAI, AutoGen, etc.) can often be reduced to a planning → execution loop powered by an LLM, with tools…
There are open-source (or freely usable) AI or OCR systems that convert image to text. What “image to text” exactly means can vary (e.g. OCR, image captioning, scene text recognition). Here are some good ones and pointers: Types of “Image → Text” tasks Before listing, it’s useful to distinguish: OCR (Optical Character Recognition) — extracting…
The large language models (LLMs) modify the human behaviour – Instead of the search engines – autocompleting their untyped words, now the LLMs need specific details so the result to be the desired result. GPT-4, Llama, DeepSeek etc, are changing how humans interact with technology, particularly in terms of how we formulate queries and requests….
The appropriate age for an app that usesLarge Language Models (LLMs) depends on the app’s design, content, and intended purpose. Here’s a breakdown of considerations: 1. General Recommendations 13+ (Teenagers and Adults): Many apps require users to be at least 13 years old, as this aligns with COPPA (Children’s Online Privacy Protection Act) regulations in…
While they’ve achieved impressive results in many areas, Large Language Models have some reasons why they might not be suitable or effective for certain tasks and will not Work for you. Here are some potential drawbacks. Computational requirements Training and using large language models require significant computational resources, which can be a barrier for many…