AI Software Development – What Does The Data Say?
We haven't written up this one. Lobsters has the full story — the link below goes straight to it.
More in AI
State agencies to ramp up AI usage
Five state agencies plan to adopt agentic artificial intelligence (AI) to support their complex tasks, from detecting foreign nominees buying land in Thailand to identifying fake parentage in civil…
- Five Thai state agencies to boost AI usage
- Agencies to use agentic AI for complex tasks
- Aim to improve efficiency and accuracy
Stop Guessing Calories: Build a Multimodal Food Estimation Pipeline with GPT-4o & SAM
We’ve all been there: staring at a delicious plate of pasta, trying to figure out if it's 400 or 800 calories. Manual tracking is a chore, and standard apps often fail at portion estimation.
- Multimodal Food Estimation Pipeline combines Computer Vision, LLMs, and Vector Databases
- Segment Anything Model isolates food items in images for precise analysis
- GPT-4o Vision performs contextual analysis to minimize hallucination risk
One terminal, two trust levels — running Claude Code against a real subscription and a cheap proxy
Part of an ongoing series on model routing and trust tiering for agentic coding tools. This one's the boring, working half — no bug hunt, just a setup that's been running clean across two machines.
- Claude Code runs on two trust levels using a real subscription and a cheap proxy
- Self-hosted proxy translates Anthropic-format requests to DeepSeek V4
- Proxy config separates planning/review tasks from high-volume, low-stakes work
🐾 PawSafe: An AI-Powered Food Safety Checker for Dogs
This is a submission for Weekend Challenge: Dog Days Edition What I Built PawSafe is an AI-powered web application that helps dog owners answer a simple but important question: "Can my dog eat this?"…
- PawSafe AI app helps dog owners check food safety.
- Users input food name, upload image, or both for analysis.
- Google Gemini API categorizes safety into four levels.
When Everyone Has AI Agents, Who Knows What They’re Doing?
We started building OliverGraph to give teams and their AI agents shared context across GitHub, Slack, docs, and the other places where work happens.
- OliverGraph consolidates AI agent context across multiple workspaces
- Agents retain crucial context during runs, even after sessions end
- Platform preserves agent run histories to prevent duplicated efforts