Blog

Notes from the team building EvolIDE.

Privacy architecture, multi-phase agent design, local-first runtimes, and operational practices for AI delivery.

EvolIDE blog preview — server-custodied AI keys: OpenAI, Anthropic, and Gemini keys held encrypted on the gateway, with the client holding only a JWT session.

Architecture

7 min

Why server-custodied AI keys beat per-laptop secrets

Provider keys on every developer machine is the largest unspoken AI risk. Here's how EvolIDE inverts the model.

Read article →

EvolIDE blog preview — agent run timeline with Plan, Scaffold, Build, Verify phases; a resume-from-checkpoint card highlighted in cyan with patch and token stats.

Engineering

8 min

Multi-phase agent builds: how to make long AI coding tasks survive

How EvolIDE splits oversized prompts into resilient phases that save incrementally and resume past partial failures.

Read article →

EvolIDE blog preview — 'The hidden cost of the wrong AI model' with a wrong-model warning UI showing task intent, cost comparison, and confidence score.

Cost

6 min

The hidden cost of the wrong AI model: 57+ models, one task

Picking the right model is often the difference between $1 and $10 for the same outcome. The advisor explains why.

Read article →

EvolIDE blog preview — four local runtimes (Ollama, LM Studio, vLLM, llama.cpp) auto-detected, each connected to localhost with a model badge. Offline mode ready.

Local-first

8 min

Local-first AI coding with Ollama, LM Studio, vLLM, and llama.cpp

You don't need an account or a cloud key to use an agent IDE. Here's how the four major local runtimes plug in.

Read article →

EvolIDE blog preview — tenant token wallet dashboard showing 847,200 of 1,000,000 tokens used, hard-stop badge, monthly grant, daily burn chart, and usage ledger rows.

Operations

7 min

Token wallets and hard stops: spending guardrails for AI coding teams

A per-tenant wallet with grants and hard stops makes AI coding spend predictable, auditable, and bounded.

Read article →

EvolIDE blog preview — Mission Control showing four parallel background agents on isolated git worktrees, each with phase, token spend, status, and a proof-pack panel.

Delivery

9 min

Background agents with isolated git worktrees: an enterprise delivery cockpit

Running many AI agents in parallel safely means each one needs its own isolated workspace. Worktrees are the unsung hero.

Read article →

Private beta · invite only

Ship faster with EvolIDE

We’re onboarding a small set of pilot teams before public launch. Tell us about your stack and we’ll get back to you.

Request early access

Be first to try EvolIDE — AI Delivery IDE for serious software teams.

No credit card. Audit-ready governance from day one.