Insights, updates, and stories from our team
Most security scanner alerts on AI-generated code are theoretical, not exploitable. A practical framework for telling the difference.
Why AI coding agents drift from your rules file over a long session, three fixes to try first, and where a rules file can't help.
A worked example showing how much of a large context window gets consumed by noise before an AI coding agent ever reaches the code that matters.
AI-generated pattern drift doesn't show up as a single bug - it shows up as declining velocity six months later. A framework for seeing it coming.
Blast radius means every file, function, and test affected by a single code change, including the ones static analysis misses. Here's how to actually see it.
Why embedding‑based code retrieval misses the dependencies that actually break: a disclosed benchmark comparing similarity search to call‑graph mapping.
AI coding agents don't fail because the model is bad. They fail because they can't see what depends on the code they're editing. Here's the actual mechanism.
From early automation to LLMs and tool use: how AI agents work today, where they are heading, and what it means for developers.
A limited-time 25% discount across plans, plus what is new in Dev and Pro tiers and the VS Code extension.
Why AI coding assistants augment rather than replace developers, and how Code Fundi fits into human-AI collaboration.
Launch Week recap: subscription tiers, Memory, generate code & tests, frontend debug, and what shipped each day.