Context-Activated Memory for Claude Code Agents
Claude Code’s built-in memory resets every session and doesn’t scale well. We built a context-activated retrieval layer instead. It uses a dedicated LLM to surface stored notes only when they’re relevant, not upfront. Under the hood, it runs a map-reduce process over memory chunks with automatic hook injection.
Why isolated sandboxes are a hard requirement for AI agents
Running AI agents on real codebases without proper isolation leads to file collisions, secret leakage, and non-reproducible failures. Isolation isn't an optimization — it's a prerequisite.
We tested how an AI team improves issue resolution on SWE-bench Verified
We evaluated a team-based approach on SWE-bench Verified, showing top performance among systems using GPT-5–class models.
gh pr-review: LLM-friendly PR review workflows in your CLI
A GitHub CLI extension that returns compact, deterministic JSON for PR reviews: single-command aggregation with filters, replies, resolutions, and submissions, reducing token overhead and error-prone tool chains.
Autonomous Software Engineer (A‑SWE): Scaling Beyond the Demo
A‑SWE reaches production when approvals, reproducible workspaces, and replayable timelines are in place—so leaders can trust outcomes, audit decisions, and scale.
How we built a small Pexels CLI (and the aarch64 cross-build trap we escaped)
A tiny Rust CLI that speaks the Pexels API, and the practical fix for aarch64 cross-builds on GitHub Actions.
What 2,800+ Claude Code issues reveal about AI dev tools teams actually use
We analyzed 2,800+ Claude Code issues. Here are four themes that separate demos from durable AI dev tools—plus concrete wins teams can ship now.
Multi‑Agent Orchestration: Patterns That Actually Work
Reliable multi‑agent systems use roles, handoffs, SLAs, and approvals—turning planner/executor/reviewer patterns into predictable missions teams can operate.
Agentic AI: From Demos to Durable Engineering
Agentic AI creates durable value when it moves beyond demos into an org-first control plane with orchestration, governance, and observability that teams can operate.
What 1,000+ Codex CLI issues reveal about AI dev tools that teams actually use
We analyzed 1,000+ Codex CLI issues. Here are 10 product themes that separate hobby projects from production-ready AI dev tools—plus concrete wins to deliver now.