#agents
33 posts
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Install It, Plan It, Heal It
Phases 65, 71 and 72 of kodr: a controlled dependency install so generated apps can actually run, a plan-then-execute self-dev acceptance test (and the local tool-call bug it found), and a bounded self-healing repair loop that feeds real verification failures back to the model.
#ai#kodr#local-models#agents#automation#verification -
Inspection as Tools, and a Plan You Can Read
Phases 62-64 of kodr: structural inspection handed to the model as two narrow tools, the same inspection exposed to the human in CLI and TUI, and a deterministic inspection plan that hands a small model the likely edit path instead of asking it to derive one.
#ai#kodr#local-models#agents#tools#context -
Ranking and Budgeting What the Model Sees
Phases 59 and 61 of kodr: a deterministic ranked repo-map so the likeliest code lands first, and token-budget-aware packing so a small local model gets useful context without starving its own completion room.
#ai#kodr#local-models#agents#context -
Scratchpads That Survive, Stages That Verify
Phases 57-58 of kodr: a planning scratchpad that carries between runs so plan-then-execute works on a small model, and staged execution that refuses to call one giant local-model dump a finished app until verification actually passes.
#ai#kodr#local-models#agents#memory#verification -
kodr Edits kodr
Phases 54-56: three self-development trials where a local model edits the harness's own source. A scorecard of what broke, the harness fixes each failure forced, and the two-location bug that keeps catching small models.
#ai#kodr#local-models#agents#automation#testing -
Inspection: kodr Learns to Read Code
Phases 51 and 53 of kodr: a zero-dependency structural code index across four languages, then an optional registry that lets real language servers enrich it - so the model reads before it writes, without the harness taking on a parser stack.
#ai#kodr#local-models#agents#context#tools -
Contract Tests and a Web Channel Sketch
Phases 49-50 of kodr: pinning the channel boundary down with contract tests so CLI, TUI and web can never drift apart, then the smallest honest proof of a web UI - a local-only JSON server that is emphatically not a second harness.
#ai#kodr#local-models#agents#cli#testing -
A Terminal UI, and Why It's Boring on Purpose
Phases 45-48 of kodr: a line-oriented TUI, an apply-review loop, a heartbeat for slow local calls, and Markdown session export - all in service of one idea, that the UI is just an adapter over a single shared request flow.
#ai#kodr#local-models#agents#cli#safety -
Sessions: Write It Down, Pick It Up, Look Back
Phases 42-44 of kodr: a trilogy that turns one-shot runs into conversations - record the full transcript, resume it with --continue, then browse what you built. Plus the one-line bug that was quietly truncating every transcript.
#ai#kodr#local-models#agents#memory#context -
Five Bugs, a Real Diff, and the Token Bill
Phases 39-41 of kodr: a review that found five plausible bugs hiding behind green tests (including an SSRF redirect bypass), a zero-dependency unified diff worth reading, and token usage finally shown where you look.
#ai#kodr#local-models#agents#security#cli -
Evals, Scores, and Prompt Receipts
Phases 37-38 of kodr: a scored eval command so model regressions surface as a number instead of a squint, and prompt versioning so every run can be traced back to the exact prompt that produced it.
#ai#kodr#local-models#agents#verification#prompt-engineering -
The CSV Example That Fought Back
Phases 24-29 of kodr: an MCP client seam, then one stubborn CSV expense example that refused to generate cleanly and dragged streaming, patch-oriented repairs, a regeneration, and memory scopes out of the harness on its way.
#ai#local-models#agents#mcp#memory#kodr -
inspect-json: a Zero-Dependency Lens for AI Logs
A small CLI I built to read LLM request and response payloads the way I actually want them - useful parts first, JSON-in-JSON decoded, zero dependencies. Now public on npm.
#ai#observability#agents#cli#nodejs -
Two More Apps, and a Policy Gate
Phases 21-23 of kodr: generating a Markdown blog and a notes API as harness trials - each one shakes out a real bug in kodr itself - plus a permission policy gate that builds on the hooks layer.
#ai#local-models#agents#security#testing#kodr -
A Deterministic Layer Around a Non-Deterministic Model
Phase 20 of kodr: pre_tool_use hooks - deterministic callbacks that can observe, mutate, or block a tool call before it runs, so policy lives in code instead of in a prompt the model might ignore.
#ai#local-models#agents#security#kodr -
A Task List the Harness Can Read
Phase 19 of kodr: a small task-plan primitive so a run can say what it thinks is done, blocked, or still pending. Early days - there is a fair bit still to come here.
#ai#local-models#agents#automation#kodr -
Autonomy, but on a Leash
Phase 14 of kodr: repeating a run for as long as it is useful, with a hard cycle count and explicit stop words so it never runs away.
#ai#local-models#agents#automation#kodr -
Exercising the Harness
Phases 15-18 of kodr: a local install, replay and model comparison, a security-review hardening pass, and using a real generated app to shake out bugs.
#ai#local-models#agents#testing#kodr -
One Repair, Then Stop
Phase 13 of kodr: when verification fails, let the model try to fix it exactly once - and no more.
#ai#local-models#agents#automation#kodr -
Limits Before Tools
Phase 11 of kodr: giving the model real tools, but wrapping every one of them in a budget first.
#ai#local-models#agents#tools#kodr -
Drawing the Workflow Before Hiring the Agents
Phase 12 of kodr: staged multi-agent coordination, modelled as plain deterministic data before a single extra model call is added.
#ai#local-models#agents#automation#kodr -
The First Full Coding Loop
Phase 10 of kodr: the moment all the careful little modules connect into a real prompt-to-patch loop.
#ai#local-models#agents#automation#kodr -
Running Checks Without Handing Over a Shell
Phase 09 of kodr: a verification runner that allowlists a handful of commands instead of giving the model a shell.
#ai#local-models#agents#safety#verification#kodr -
Skills, but Just the Markdown
Phase 07 of kodr: SKILL.md files as reusable instructions, with the executable runtime deliberately left out.
#ai#local-models#agents#skills#kodr -
Letting a Model Write Files Without Losing the Plot
Phase 08 of kodr: a path jail, dry-run diffs, and timestamped backups - the gate that sits between model output and your filesystem.
#ai#local-models#agents#safety#security#kodr -
Context Is Just an Input
Phase 06 of kodr: build the workspace context for a prompt deterministically, then let yourself look at it before it ever hits the model.
#ai#local-models#agents#context#prompt-engineering#kodr -
Defensive JSON Extraction
Local models love wrapping JSON in prose, fences, and broken escapes. Here is the little parser that survives them.
#ai#local-models#agents#parsing#kodr -
Learning by Commit
A technique for learning complex things: get an agent to build it, then learn by watching it work
#ai#local-models#learning#agents#kodr -
Probing Local Models and Building the Test Rig
Phases 02–04 of the kodr learning repo: connecting to LM Studio, faking a model server for tests, and capturing prompt run artifacts
#ai#local-models#learning#agents#lmstudio#testing#kodr -
Agentic Diagrams has slides now
Slides, flow sequence animations, AI Architect, and a beta tester callout for Agentic Diagrams.
#ai#agents#tools -
Agentxiety
The persistent, low-grade anxiety experienced when your AI agent subscription sits idle while you engage in non-productive human activities
#ai#agents#humour -
Agentic Diagrams
Using React Flow to visualise complex agentic systems - animated flows as a GIF
#ai#agents#tools -
Agentic Diagrams
Using React Flow to visualise complex agentic systems
#ai#agents#tools