Context Window Management for Long-Running AI Agents: 4 Patterns That Work
Originally published on robatdasorvi.com The agent had been running for four hours and it was arguing with itself about a file it had already fixed.…
Architecture
⚑ Report a ProblemLatest Architecture news from Tech News
All topics
agents
ai
api
architecture
automation
aws
backend
beginners
career
database
devchallenge
devops
javascript
llm
machinelearning
mcp
news
opensource
performance
productivity
programming
python
react
security
showdev
softwareengineering
systemdesign
tutorial
typescript
webdev
Multi-agent work in three spoonfuls: what worked for me and what did not
This started as a practical annoyance: long tasks interrupted by quota limits, conversations that became too heavy, and reviews that required copyin…
I stopped writing prompts. I write the repo.
Originally published on indiecore.net . For about a year I got better at asking. Longer prompts, worked examples, careful phrasing, a private collec…
The Glass Box: Inside OpenAI's Computer History & Agentic AI
🎙️ Short on time? Explore the 10-Min Interactive Visual Deck first ➔ Every major breakthrough in software automation begins by removing a layer of h…
OpenCode Needs Memory, Not Another Background Pipeline
I kept explaining the same project facts to new OpenCode sessions. Not the durable rules that already belonged in AGENTS.md . Those were present. Th…
One bad step, N bad steps: how agent failures cascade
Originally published on Loop & Retry — field notes on building LLM agents that survive production. Here's the failure mode that surprises people…
Context window sizing for fine-tuning: how long should your training examples be?
Originally published on Loop & Retry — field notes on building LLM agents that survive production. Most fine-tuning guides answer "how many exam…
The End of "One-Shot AI": Why Context Engineering Is Replacing Prompt Engineering
Most "prompt engineering" advice circulating today is already obsolete for anyone building production-grade AI. Granular phrasing matters for simple…
The Multi-Agent Memory Problem: Why Retrieval-Time Inference Breaks Down at Scale
Published by the Alchemyst AI engineering team. We built Alchemyst AI, the context layer described in this post. This is not a neutral third-party r…
Load late, load little: just-in-time context for conversation history
Most agents drag their entire past into every turn. A better default: keep a thin index of what was said hot, and fetch only the few turns you actua…
The README Was a Protocol. The Entrypoint Was Still Optional.
Glossary: terms used in this article 🔸 MICA (Memory Invocation & Context Archive) : A governance schema for AI context management. Defines how c…
Context Engineering: Building More Reliable LLM Systems in Production
Context Engineering: Building More Reliable LLM Systems in Production In LLM-based systems, performance is often driven less by model size and more…
I built the same MVP twice. The autonomous agent wrote 4.6x more tests — none caught two stubbed core methods.
Side-post in the keppt build-in-public series — an interlude before the Phase 1 implementation write-up lands. While building Phase 1 of keppt , I r…