Integration without an API: how to connect a system with no ready-made connector
What to do if a service has no ready-made connector: API, files, queues, CLI, RPA/browser gateway, and MCP. Risks, security, and monitoring.
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24 Showing articles 217–240 of 563
Ponytail, Caveman, and RTK: three layers of token savings in AI development
Learn how to cut AI-assisted work costs: Ponytail trims extra code, Caveman compresses communication, and RTK removes shell-output noise.
Learn moreBusiness processes in Bitrix24: robots, pipelines, and process automation
How to automate business processes in Bitrix24 with robots, triggers, funnels, and deal stages. KT.Team's experience in process setup and CRM implementation.
Learn moreHow a Furniture Manufacturer Can Manage Product Data Before PIM Implementation
What to check before a PIM project: assortment, 1C, stock, marketplaces, security, and product data support.
Learn moreHow to Become an IT Project Manager from Scratch: Salary, Path, and Role in 2026
Become an IT project manager without tech background. Explore salary by grade, career path from junior to lead, key skills, and 2026 industry trends.
Learn moreHow Bitrix24 CRM automates sales, marketing, and tasks in one window
How Bitrix24 CRM helps automate sales, marketing, tasks, and customer service in one system.
Learn moreDeveloper and PM estimate: L10-L60, workflow and AI
How KT.Team evaluates developers and project managers: L10-L60, TTU, workflow, client trust, and AI's role in modern development.
Learn moreSite access control: physical access systems, the law, and biometrics in 2026
How to organize construction site access control: access documents, biometrics, timesheet checks, 1C integration, and result verification.
Learn moreWhat is TS PIoT: marking migration for retail and 1C
TS PiOT is a certified in-store module that checks marking codes in authorization mode. What it is, who it affects, and how retail and 1C should migrate.
Learn moreClaude in Mid-Market and Enterprise
How to deploy Claude in mid-market and enterprise: from pilot to scale, where GDPR really blocks AI, where it does not, and what closes faster.
Learn moreCRM market in CIS 2026: Bitrix24 implementation, AI, trends, and project economics
CIS’s CRM market grew to 44.1 billion rubles (+25%): domestic solutions exceed 90%, Bitrix24 leads users at about 48%, and the top 2026 trend is AI in sales.
Learn moreESB Systems for Integration Comparison: 2026 Overview
Compare 7 enterprise service bus systems with CNews rating and 2026 CIS market analysis for integration selection.
Learn moreCross-platform development: RN, Flutter, or Kotlin Multiplatform
Choose between React Native, Flutter, and Kotlin Multiplatform for mobile apps: comparison table, scenarios, and integration with 1C, ERP, and PIM.
Learn morePricing Automation in E-commerce: How to Choose Tools Without Giving Pricing to a Black Box
How to build a price automation framework: competitor monitoring, repricing, ML/AI, limits of off-the-shelf tools, and KT.Team's approach.
Learn moreHow to give an LLM your knowledge: RAG, llm-wiki, graphs, fine-tuning
Compare RAG, llm-wiki, knowledge graphs, and fine-tuning for giving LLMs your knowledge, including when Obsidian helps and when it becomes unnecessary overhead.
Learn moreManaging Brand Image in Neural Networks: Pro et Contra
GEO gives no control over neural-network answers. What you can actually manage: brand facts, sources, reputation, measurement and the data perimeter.
Learn moreChestny Znak in 1C: how to work with it, export codes, and configure cash registers in 2026
How to work with Chestny Znak in 1C in 2026: marking code export, SBIS/EDI, UTD auto-signing, POS compliance mode, and error control.
Learn moreModel Fine-Tuning: A Short Guide
What LLM fine-tuning is, its pros and cons, when it makes sense (factories, construction, retail), and when cloud-based RAG or llm-wiki is enough.
Learn moreKarpathy's Lens: Understanding vs. Execution
A breakdown of Andrej Karpathy's ideas: AI as a spirit, a decade of agents, understanding matters more than execution, and what this means for business.
Learn moreHow we cut token costs without losing quality
How KT.Team reduces AI task costs: short context, RTK, Caveman, Cavecrew, caching, batch processing, and complexity-based routing.
Learn moreWhat McKinsey, Gartner, BCG, and Sequoia say about AI adoption - and what it means for you
What reports from Morgan Stanley, Gartner, and Sequoia say about AI adoption in 2025-2026 and what it means for enterprise: ROI, agents, build vs buy.
Learn moreLLM capabilities in 2026: choosing the right model for your process and budget
Comparison of frontier, open-weight, and CIS LLMs in 2026 by inference cost, context window, licensing, on-prem, and Federal Law GDPR, including GigaChat 3.5 Ultra.
Learn moreCommunication discipline: how to disagree without losing ground
Why a difficult dispute requires sequencing, questions, and written records of emotions: a management practice for digital teams.
Learn moreDORA 2026: AI does not deliver ROI - your platform does
DORA 2026 on AI ROI in development: 88% see returns, but transformation is rare. Why AI is an amplifier of platform maturity, not a source of ROI. Analysis by Andrey Putin.
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