#context-management

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#prompt-engineering #conversational-memory #model-context-protocol #predictive-ux #inline-intent-refinement
DevOps
fromInfoWorld
1 week ago

An architecture for engineering AI context

AI systems must intelligently manage context to ensure accuracy and reliability in real applications.
Software development
fromO'Reilly Media
1 month ago

How to Write a Good Spec for AI Agents

Write smart AI agent specs with clear high-level vision, break tasks into smaller chunks, plan in read-only mode first, then execute and iterate continuously while staying within practical context limits.
fromLogRocket Blog
1 month ago

Can't use Claude at work? How I recreated "Skills" in GitHub Copilot - LogRocket Blog

When Anthropic introduced Claude Skills, they demonstrated how specialized instruction sets could transform AI assistants into domain experts. But not every developer can use Claude at work. Many companies have IT restrictions or security policies that prevent the use of a large LLM like Anthropic's. Or they may just want to avoid context-switching between a million different AI tools. Count me as one of those devs.
Software development
Artificial intelligence
fromFast Company
1 month ago

Developers are still weighing the pros and cons of AI coding agents

AI coding tools often produce buggy, hard-to-maintain code by losing context in complex projects, though testing and validation features are emerging to catch problems.
Productivity
fromPsychology Today
1 month ago

How to Use AI to Work Around Poor Concentration

Use AI as assistive technology to maintain and reload context, help finish stalled projects, and support daily tasks when concentration is fragmented.
Artificial intelligence
fromInfoQ
1 month ago

OpenAI Begins Article Series on Codex CLI Internals

Codex harness runs an LLM-driven agent loop that assembles prompts, manages context to reduce prompt cache misses, and invokes tools via the Responses API.
UX design
fromMedium
3 months ago

Designing the 3 layers of AI context

LLM context should be managed as layered human memory—semantic, working, and long-term—to preserve conversation continuity, relevant history, and evolving meaning.
fromMedium
3 months ago

Designing the 3 layers of AI context

AI context as a reflection of human memory To make a large language model (LLM) truly useful, everything begins with context management. Context is more than a single prompt, it is the entire accumulation of conversation series. Every user input, combined with every AI response, forms the evolving environment in which meaning is created.
UX design
Artificial intelligence
fromArs Technica
4 months ago

Anthropic introduces cheaper, more powerful, more efficient Opus 4.5 model

Opus 4.5 improves conversational memory to avoid abrupt hard-stops and raises coding benchmark accuracy above 80 percent while excelling at agentic coding.
#model-context-protocol
fromRealpython
6 months ago
Artificial intelligence

Episode #266: Dangers of Automatically Converting a REST API to MCP - The Real Python Podcast

fromRealpython
6 months ago
Artificial intelligence

Episode #266: Dangers of Automatically Converting a REST API to MCP - The Real Python Podcast

more#model-context-protocol
#predictive-ux
more#predictive-ux
fromMarTech
6 months ago

As data and content proliferate, context is poised to become the new king | MarTech

Data and AI were the dominant martech buzzwords in early 2025, but context is taking their place as the year wraps up. This isn't entirely new; more than seven years ago, a MarTech article named content as king and context as queen. But in the age of AI, the volume of data and content flowing into systems is bringing context back to the forefront. Context is what takes data and turns it into something more valuable, like relationships and experiences.
Marketing tech
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